Data Entry Jobs in Algeria

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><br>POSITION SUMMARY<br>Check figures, postings, and documents for correct entry, mathematical accuracy, and proper codes. Organize, secure, and maintain all files, records, cash and cash equivalents in accordance with policies and procedures. Record, store, access, and/or analyze computerized financial information. Maintain accurate electronic spreadsheets for financial and accounting data. Classify, code, and summarize numerical and financial data to compile and keep financial records, using journals, ledgers, and/or computers. Prepare, maintain, and distribute statistical, financial, accounting, auditing, or payroll reports and tables. Complete period-end closing procedures and reports as specified. Prepare, review, reconcile, and issue bills, invoices, and account statements according to company procedures.<br>Follow all company policies and procedures; ensure uniform and personal appearance are clean and professional; maintain confidentiality of proprietary information; protect company assets; protect the privacy and security of guests and coworkers. Address guests' service needs in a professional, positive, and timely manner. Speak with others using clear and professional language; prepare and review written documents accurately and completely; answer telephones and emails using appropriate etiquette. Move, lift, carry, push, pull, and place objects weighing less than or equal to 10 pounds without assistance. Develop and maintain positive working relationships with others; support team to reach common goals; listen and respond appropriately to the concerns of other employees. Perform other reasonable job duties as requested by Supervisors.<br>PREFERRED QUALIFICATIONS<br>Education: High school diploma or G.E.D. equivalent.<br>Related Work Experience: At least 1 year of related work experience.<br>Supervisory Experience: No supervisory experience.<br>License or Certification: None<br>At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates. We are committed to non-discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law.<br>At Le Méridien, we are inspired by the era of glamorous travel, celebrating each culture through the distinctly European spirit of savouring the good life. Our guests are curious and creative, cosmopolitan culture seekers that appreciate moments of connection and slowing down to savour the destination. We provide authentic, chic and memorable service along with experiences that inspire guests to savour the good life. We’re looking for curious and creative people to join our team. If you appreciate connecting with like-minded guests and have a deep desire to create memorable experiences, we invite you to explore career opportunities with Le Méridien. In joining Le Méridien, you join a portfolio of brands with Marriott International. Be where you can do your best work,​ begin&nbsp;your purpose,&nbsp;belong&nbsp;to an amazing global​&nbsp;team, and&nbsp;become&nbsp;the best version of you.</span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><br>POSITION SUMMARY<br>Check figures, postings, and documents for correct entry, mathematical accuracy, and proper codes. Organize, secure, and maintain all files, records, cash and cash equivalents in accordance with policies and procedures. Record, store, access, and/or analyze computerized financial information. Maintain accurate electronic spreadsheets for financial and accounting data. Classify, code, and summarize numerical and financial data to compile and keep financial records, using journals, ledgers, and/or computers. Prepare, maintain, and distribute statistical, financial, accounting, auditing, or payroll reports and tables. Complete period-end closing procedures and reports as specified. Prepare, review, reconcile, and issue bills, invoices, and account statements according to company procedures.<br>Follow all company policies and procedures; ensure uniform and personal appearance are clean and professional; maintain confidentiality of proprietary information; protect company assets; protect the privacy and security of guests and coworkers. Address guests' service needs in a professional, positive, and timely manner. Speak with others using clear and professional language; prepare and review written documents accurately and completely; answer telephones and emails using appropriate etiquette. Move, lift, carry, push, pull, and place objects weighing less than or equal to 10 pounds without assistance. Develop and maintain positive working relationships with others; support team to reach common goals; listen and respond appropriately to the concerns of other employees. Perform other reasonable job duties as requested by Supervisors.<br>PREFERRED QUALIFICATIONS<br>Education: High school diploma or G.E.D. equivalent.<br>Related Work Experience: At least 1 year of related work experience.<br>Supervisory Experience: No supervisory experience.<br>License or Certification: None<br>At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates. We are committed to non-discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law.<br>Marriott Hotels strive to elevate the art of hospitality, innovating at every opportunity while keeping the comfort of the oh-so-familiar all around the globe. As a host with Marriott Hotels, you will help keep the promise of "Wonderful Hospitality. Always." by delivering thoughtful, heartfelt, forward-thinking service that upholds and builds upon this living legacy. With the name that's synonymous with hospitality the world over, we are proud to welcome you to explore a career with Marriott Hotels. In joining Marriott Hotels, you join a portfolio of brands with Marriott International. Be where you can do your best work, begin your purpose, belong to an amazing global team, and become the best version of you.<br>JW Marriott is part of Marriott International's luxury portfolio and consists of more than 100 beautiful properties in gateway cities and distinctive resort locations around the world. JW believes our associates come first. Because if you're happy, our guests will be happy. JW Marriott associates are confident, innovative, genuine, intuitive, and carry on the legacy of the brand's namesake and company founder, J.Willard Marriott. Our hotels offer a work experience unlike any other, where you'll be part of a community and enjoy true camaraderie with a diverse group of co-workers. JW creates opportunities for training, development, recognition and most importantly, a place where you can pursue your passions in a luxury environment with a focus on holistic well-being. Treating guests exceptionally starts with the way we take care of our associates. That's The JW Treatment. In joining JW Marriott, you join a portfolio of brands with Marriott International. Be where you can do your best work, begin your purpose, belong to an amazing global team, and become the best version of you.</span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for skilled Full-Stack Web App Developers (JavaScript/TypeScript + Python or Node) to join the Tendem project (https://tendem.<br>ai/) and build interactive browser-based applications for real-world use cases.<br> In this role, you'll apply your full-stack engineering expertise to design, build, and maintain functional, robust, and user-friendly web applications.<br> This part-time remote opportunity is ideal for professionals with hands-on experience in modern frontend frameworks, backend APIs, databases, and shipping interactive web products end-to-end.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Full-Stack Web App Developer, you'll design, build, and refine browser-based applications with real logic, state, persistence, and user input — from habit trackers and budgeting tools to internal dashboards, mini-SaaS tools, and AI-powered apps.<br> You may also work on standalone Python applications and data-processing scripts that sit alongside or behind these products.<br> Key Responsibilities Build interactive web applications with frontend (React, Next.<br>js, Vue, or similar) and a backend API (Python/FastAPI/Flask or Node/Express).<br> Design and implement data models, schemas, and persistence layers using SQL (PostgreSQL, SQLite) or NoSQL stores.<br> Implement authentication, sessions, and basic role-based access where needed.<br> Integrate third-party APIs and AI/LLM services (OpenAI, Anthropic, or similar) into product features.<br> Handle state management, user input validation, error states, and loading states cleanly.<br> Build standalone Python tools and scripts where required by the task (data processing, API clients, lightweight backend utilities).<br> Review, debug, optimize, and refactor full-stack applications to improve correctness, security, performance, and maintainability.<br> Write clear, testable code and debug end-to-end issues across frontend, backend, and database.<br> Educational qualifications At least 3 years of relevant experience in full-stack web development or shipping interactive web applications (required).<br> Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong foundation in full-stack web development, modern frontend frameworks, backend architecture, and building interactive browser-based applications end-to-end.<br> We are looking for specialists who can confidently work across frontend, backend, databases, and APIs, design robust application logic, and build production-ready web applications.<br> Strong problem-solving skills, attention to detail, and the ability to independently architect and ship complete features are essential.<br> Technical Skills (Essential) Strong command of JavaScript/TypeScript and at least one modern frontend framework (React, Next.<br>js, Vue, Svelte, or similar).<br> Solid backend experience in Python (FastAPI, Flask, Django) and/or Node.<br>js (Express, NestJS).<br> Hands-on experience with relational databases (PostgreSQL, MySQL, SQLite) and basic schema design.<br> Experience implementing REST APIs, request validation, error handling, and authentication flows.<br> Familiarity with deployment platforms (Vercel, Netlify, Render, Fly.<br>io, Railway, or similar).<br> Experience integrating LLM APIs or other AI services into product features is a strong plus.<br> Comfortable with version control (Git) and basic testing practices.<br> Additional requirements Strong attention to detail and commitment to building working, robust products — not demos.<br> Self-directed work ethic with the ability to architect, build, and ship features independently.<br> Portfolio of shipped web applications (required).<br> English proficiency: Upper-intermediate (B2) or above (required).<br> Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> Why this freelance opportunity might be a great fit for you?<br> Work fully remote on your own schedule with just a laptop and stable internet connection.<br> Apply your expertise to real-world technology projects while gaining experience building high-quality solutions for a global platform.<br> Participate in performance-based bonus programs that reward high-quality work and consistent delivery.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for skilled Full-Stack Web App Developers (JavaScript/TypeScript + Python or Node) to join the Tendem project (https://tendem.<br>ai/) and build interactive browser-based applications for real-world use cases.<br> In this role, you'll apply your full-stack engineering expertise to design, build, and maintain functional, robust, and user-friendly web applications.<br> This part-time remote opportunity is ideal for professionals with hands-on experience in modern frontend frameworks, backend APIs, databases, and shipping interactive web products end-to-end.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Full-Stack Web App Developer, you'll design, build, and refine browser-based applications with real logic, state, persistence, and user input — from habit trackers and budgeting tools to internal dashboards, mini-SaaS tools, and AI-powered apps.<br> You may also work on standalone Python applications and data-processing scripts that sit alongside or behind these products.<br> Key Responsibilities Build interactive web applications with frontend (React, Next.<br>js, Vue, or similar) and a backend API (Python/FastAPI/Flask or Node/Express).<br> Design and implement data models, schemas, and persistence layers using SQL (PostgreSQL, SQLite) or NoSQL stores.<br> Implement authentication, sessions, and basic role-based access where needed.<br> Integrate third-party APIs and AI/LLM services (OpenAI, Anthropic, or similar) into product features.<br> Handle state management, user input validation, error states, and loading states cleanly.<br> Build standalone Python tools and scripts where required by the task (data processing, API clients, lightweight backend utilities).<br> Review, debug, optimize, and refactor full-stack applications to improve correctness, security, performance, and maintainability.<br> Write clear, testable code and debug end-to-end issues across frontend, backend, and database.<br> Educational qualifications At least 3 years of relevant experience in full-stack web development or shipping interactive web applications (required).<br> Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong foundation in full-stack web development, modern frontend frameworks, backend architecture, and building interactive browser-based applications end-to-end.<br> We are looking for specialists who can confidently work across frontend, backend, databases, and APIs, design robust application logic, and build production-ready web applications.<br> Strong problem-solving skills, attention to detail, and the ability to independently architect and ship complete features are essential.<br> Technical Skills (Essential) Strong command of JavaScript/TypeScript and at least one modern frontend framework (React, Next.<br>js, Vue, Svelte, or similar).<br> Solid backend experience in Python (FastAPI, Flask, Django) and/or Node.<br>js (Express, NestJS).<br> Hands-on experience with relational databases (PostgreSQL, MySQL, SQLite) and basic schema design.<br> Experience implementing REST APIs, request validation, error handling, and authentication flows.<br> Familiarity with deployment platforms (Vercel, Netlify, Render, Fly.<br>io, Railway, or similar).<br> Experience integrating LLM APIs or other AI services into product features is a strong plus.<br> Comfortable with version control (Git) and basic testing practices.<br> Additional requirements Strong attention to detail and commitment to building working, robust products — not demos.<br> Self-directed work ethic with the ability to architect, build, and ship features independently.<br> Portfolio of shipped web applications (required).<br> English proficiency: Upper-intermediate (B2) or above (required).<br> Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> Why this freelance opportunity might be a great fit for you?<br> Work fully remote on your own schedule with just a laptop and stable internet connection.<br> Apply your expertise to real-world technology projects while gaining experience building high-quality solutions for a global platform.<br> Participate in performance-based bonus programs that reward high-quality work and consistent delivery.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building competitive-programming problems and their automatic graders (test cases + checkers) used to train advanced AI coding models.<br> You'll create problems, write both correct and deliberately-wrong solutions, and design the tough test cases that catch subtly-broken code.<br> Your work is what makes the training signal trustworthy.<br> To apply, share: your competitive-programming handle(s) + current/peak rating, any problem-setting experience, and IOI/ICPC/olympiad history.<br> What you'll do Write original algorithmic problems — clear statement, sound constraints, an intended solution; Write correct solutions in C++ and Python; Write realistic wrong solutions (common mistakes) to test against; Build and harden test cases: generators, edge cases, stress and "hacking" tests; Write checkers/interactors (testlib) for problems with more than one valid answer; Confirm the quality bar: correct solutions pass, wrong ones fail, within time limits.<br> What we look for Strong competitive programming background, shown by a public profile — a Codeforces rating (see levels below), OR an IOI / ICPC / national-olympiad record; Fluent contest C++ (STL, complexity); comfortable writing Python; Can explain why a solution is wrong and build an input that breaks it; Strong written English (C1+).<br> Levels (by Codeforces rating, or equivalent olympiad achievement): Associate — 1700–2100 (Expert / Candidate Master): easier problems; Expert — 2200–2600 (Master / Grandmaster): harder problems Senior / Reviewer — 2600+ (Int'l Grandmaster) or IOI/ICPC medalist: hardest problems + quality review.<br> Nice to have IOI / ICPC alumni and top competitive programmers especially encouraged to apply; Experience setting or testing problems for real contests (Codeforces rounds, ICPC, national olympiads, online judges); Testlib experience (checkers, validators, generators); Experience creating data for LLM code benchmarks or similar RL / evaluation datasets.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Paid per accepted task.<br> Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $90/hr .<br> Because payment is per task, a faster pace raises your effective hourly rate.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building competitive-programming problems and their automatic graders (test cases + checkers) used to train advanced AI coding models.<br> You'll create problems, write both correct and deliberately-wrong solutions, and design the tough test cases that catch subtly-broken code.<br> Your work is what makes the training signal trustworthy.<br> To apply, share: your competitive-programming handle(s) + current/peak rating, any problem-setting experience, and IOI/ICPC/olympiad history.<br> What you'll do Write original algorithmic problems — clear statement, sound constraints, an intended solution; Write correct solutions in C++ and Python; Write realistic wrong solutions (common mistakes) to test against; Build and harden test cases: generators, edge cases, stress and "hacking" tests; Write checkers/interactors (testlib) for problems with more than one valid answer; Confirm the quality bar: correct solutions pass, wrong ones fail, within time limits.<br> What we look for Strong competitive programming background, shown by a public profile — a Codeforces rating (see levels below), OR an IOI / ICPC / national-olympiad record; Fluent contest C++ (STL, complexity); comfortable writing Python; Can explain why a solution is wrong and build an input that breaks it; Strong written English (C1+).<br> Levels (by Codeforces rating, or equivalent olympiad achievement): Associate — 1700–2100 (Expert / Candidate Master): easier problems; Expert — 2200–2600 (Master / Grandmaster): harder problems Senior / Reviewer — 2600+ (Int'l Grandmaster) or IOI/ICPC medalist: hardest problems + quality review.<br> Nice to have IOI / ICPC alumni and top competitive programmers especially encouraged to apply; Experience setting or testing problems for real contests (Codeforces rounds, ICPC, national olympiads, online judges); Testlib experience (checkers, validators, generators); Experience creating data for LLM code benchmarks or similar RL / evaluation datasets.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Paid per accepted task.<br> Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $90/hr .<br> Because payment is per task, a faster pace raises your effective hourly rate.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Org. Setting and Reporting<br>The UN Secretary-General launched on 1 January 2019 a bold and new global reform which repositioned the UN Development System to deliver more effectively and efficiently with the achievement of the 2030 Agenda and the Sustainable Development Goals. As part of this reform, UN Resident Coordinator Offices (UN RCO), under the leadership of an empowered and independent UN Resident Coordinator - the highest-ranking official of the UN Development System and Representative of the UN Secretary-General at country level - support countries in the achievement of their development priorities and the attainment of the SDG's. In its Resolution A/RES/72/279, the United Nations General Assembly endorsed the transformation of the Development Operations Coordination Office (DCO) as a stand-alone coordination office within the United Nations Secretariat. DCO exercises managerial and oversight functions of the resident coordinator system under the oversight of the Chair of United Nations Sustainable Development Group (UNSDG). In 2026, DCO undertook a recalibration to ensure the RC system remains optimally configured to support the acceleration of the 2030 Agenda and embodies the UN 2.0 shift- anchored in data, digital, innovation, behavioral science, strategic foresight, and a mission driven organizational culture. The position is located in the United Nations Resident Coordination Office (RCO) in Algiers, Algeria and reports to the Head of RCO. The incumbent works under the overall supervision of the Head of RCO while maintaining a matrixed functional relationship with the Sustainable Development Goals (SDG) Policy and Financing Section of the SDG Coordination, Policy and Programme Division, and collaborates closely with the Regional Policy Analyst to ensure coherence and alignment of SDG policy, financing, and sustainable development support in line with corporate RC system policy corporate priorities<br> Responsibilities<br>Within delegated authority, the Economist will be responsible of the following duties: 1. Provides substantive economic analysis and supports evidence-based advice on sustainable development, economic transformation and SDG financing. • Researches, analyzes and presents economic, social and sustainable development data and information, including emerging trends and good practices related to economic transformation, green and just transition, digital transformation, the future of work and SDG financing. • Conducts economic and policy analysis, including political economy and institutional analysis, as relevant, to support the Resident Coordinator (RC) and United Nations Country Team (UNCT) in identifying challenges, opportunities and policy options for accelerating progress towards the Sustainable Development Goals (SDGs), with due consideration to gender equality and leave no one behind principles. • Support implementation and localization of global/corporate guidelines, tools and other materials related to economic transformation and SDG financing, including methodologies and tools related to integrated SDG analysis, strategic foresight, data-driven decision-making, digital transformation and innovation in close collaboration with the Regional Office and the SDG Coordination, Policy and Programme Division • Provides substantive inputs to analysis and briefing materials on economic transformation and SDG financing, including fiscal space, public expenditure effectiveness, domestic resource mobilization and financing gaps, as relevant, as well as integrated SDG analysis, strategic foresight, data-driven decision-making, digital transformation and innovation. • Supports the identification and analysis of entry points for integrated UN policy support related to economic transformation, including opportunities to promote more inclusive, productive, resilient and sustainable economic development, productive diversification, decent employment and reductions in inequalities. • Collects, analyzes and interprets economic and development data relevant to UN country-level operations, identifies trends and gaps and proposes follow-up actions to strengthen evidence-based programming and decision-making. • Prepares substantive inputs to policy papers, analytical notes, briefing materials, reports and other knowledge products on economic transformation, macroeconomic trends and SDG financing. • Monitors national, regional and global economic developments and analyzes their potential implications for sustainable development and achievement of the SDGs at the country level. • Conducts analysis on the role of the private sector in sustainable economic transformation and SDG financing and identifies potential opportunities for partnerships, innovation and blended financing approaches. • Researches and analyzes emerging and innovative approaches to SDG financing, including initiatives developed by the United Nations, International Financial Institutions and other development partners. • Provides substantive economic and policy advice to the RC and UNCT and prepares inputs for briefing notes, talking points and background materials on economic transformation, macroeconomic developments and SDG financing. • Supports UNCT initiatives related to SDG financing, including Integrated National Financing Frameworks (INFFs) and follow-up to Sevilla Commitments, as applicable. • Provides economic analysis and substantive inputs to humanitarian-development-peace nexus approaches, as relevant to the country context. 2. Supports partnerships and engagement with national counterparts and other stakeholders on economic transformation and SDG financing. • Supports the RC and UNCT's engagement with government counterparts, United Nations entities, International Financial Institutions (IFIs), development partners, the private sector, academia, think tanks and civil society on issues related to economic transformation and SDG financing. • Maintains working-level collaboration and exchanges with economists across the UN system and other relevant institutions to facilitate information-sharing, policy coherence and joint analytical work. • In close collaboration with relevant RCO colleagues, supports engagement with national planning, economic and finance institutions, IFIs, private sector actors and other partners to identify areas for collaboration on sustainable economic transformation and SDG financing. • Monitors analytical work, policy developments, financing initiatives and capacity-development support provided by development partners and identifies opportunities for collaboration with the UNCT. • Supports engagement with private sector and civil society stakeholders to identify potential contributions to sustainable economic transformation and catalytic financing opportunities for achievement of the SDGs. • Facilitates engagement, as appropriate, with data communities, innovation ecosystems, academic institutions, digital actors and foresight networks to strengthen analytical capacity and support the application of UN 2.0 capabilities in the country context. 3. Provides economic analysis and substantive support to the UN sustainable development programming cycle. • Contributes economic and financing analysis to the development and implementation of the Common Country Analysis (CCA), United Nations Sustainable Development Cooperation Framework (UNSDCF), joint programmes, annual reports and other elements of the UN sustainable development programming cycle. • Supports the preparation of macroeconomic, socioeconomic and SDG financing analysis for the CCA and other analytical exercises, applying an integrated approach and drawing, where relevant, on data, digitalization, innovation and strategic foresight. • Identifies economic trends, policy issues and emerging development challenges and provides substantive inputs and recommendations to support UNCT programming and integrated policy responses. • Contributes to the development, implementation, monitoring and review of the UNSDCF, with particular attention to economic transformation, macroeconomic trends and SDG financing. • Provides substantive support to the development of UN joint programmes related to economic transformation and SDG financing, including programmes supported by the Joint SDG Fund, as applicable, and contributes to identifying investment opportunities, financing gaps and evidence needed to inform investment-oriented programming and resource mobilization. • Supports UNCT Results Groups and other coordination mechanisms by providing economic analysis and substantive inputs relevant to the implementation of joint workplans and sustainable development priorities. • Researches and proposes options to strengthen UN support to national and multi-stakeholder processes related to economic policy, financing and capacity development, including the use of data, digital technologies, innovation and foresight for sustainable development. 4. Contributes to knowledge management and learning on economic transformation and SDG financing. • Contributes to knowledge management on economic transformation, macroeconomic trends and SDG financing to strengthen the UNCT's shared understanding of sustainable development challenges and opportunities. • Participates in local, regional and global communities of practice and knowledge networks, including the UN Economist Network, and facilitates the exchange of relevant research, good practices and lessons learned. • Researches and analyzes good practices and lessons learned from UN policy initiatives and programmes related to economic transformation and identifies their relevance to the country context. • Monitors and analyzes approaches and successful models for SDG financing and contributes to identifying options that could inform national investment policies and programmes. • Keeps abreast of emerging economic research, policy developments, analytical methodologies and innovative approaches relevant to sustainable development and proposes their application, as appropriate, to the work of the RCO and UNCT. • Documents lessons learned and knowledge generated through analytical and programme-support activities and contributes to their dissemination within the Resident Coordinator system and UN Country Team. • Supports knowledge-sharing and learning activities that promote the use of data, digitalization, innovation and foresight to strengthen sustainable development analysis and programming. • Performs other duties as assigned.<br> Competencies<br>• PROFESSIONALISM: Ability to apply sustainable development theories, concepts and approaches. Ability to identify issues, analyze and participate in the resolution of issues/problems. Ability to conduct data collection using various methods. Conceptual analytical and evaluative skills to conduct independent research and analysis, including familiarity with and experience in the use of various research sources, including electronic resources on the internet, intranet and other databases. Shows pride in work and in achievements; demonstrates professional competence and mastery of subject matter; is conscientious and efficient in meeting commitments, observing deadlines and achieving results; is motivated by professional rather than personal concerns; shows persistence when faced with difficult problems or challenges; remains calm in stressful situations. Takes responsibility for incorporating gender perspectives and ensuring the equal participation of women and men in all areas of work. • ACCOUNTABILITY: Takes ownership of all responsibilities and honours commitments; delivers outputs for which one has responsibility within prescribed time, cost and quality standards; operates in compliance with organizational regulations and rules; supports subordinates, provides oversight and takes responsibility for delegated assignments; takes personal responsibility for his/her own shortcomings and those of the work unit, where applicable. • PLANNING AND ORGANIZING: Develops clear goals that are consistent with agreed strategies; identifies priority activities and assignments; adjusts priorities as required; allocates appropriate amount of time and resources for completing work; foresees risks and allows for contingencies when planning; monitors and adjusts plans and actions as necessary; uses time efficiently.<br> Education<br>Advanced university degree (Master’s degree or equivalent degree) in Economics. A first-level university degree in combination with two additional years of qualifying experience may be accepted in lieu of the advanced university degree. Successful completion of both degree and nondegree programs in data analytics, business analytics or data science programs is an advantage.<br> Job - Specific Qualification<br>Not available.<br> Work Experience<br>A minimum of five (5) years of progressively responsible experience in economic research and analysis, macroeconomic or socioeconomic policy, applied economics, development economics, or a related area in the context of development cooperation is required. Experience in conducting economic and/or policy analysis and translating development trends and data into policy options, recommendations or other analytical products is required. Experience in SDG financing, development finance, public finance and/or innovative financing approaches is desirable. Experience in supporting strategic planning, policy development or financing solutions with government institutions and/or other development partners is desirable. Experience working with multiple stakeholders, including government, the private sector, civil society, academia and/or development partners, in support of sustainable development priorities is desirable. Experience in applying inclusive approaches that take into consideration gender equality, youth, persons with disabilities and/or leave no one behind principles in economic analysis, policy or development programming is desirable. Experience in supporting partnerships and/or resource mobilization initiatives in the context of development cooperation is desirable. Experience working in UN inter-agency coordination or other multi-stakeholder coordination mechanisms is desirable. Experience in knowledge management, research, or the preparation and dissemination of analytical and policy products in the context of development cooperation is desirable. Two (2) years or more of experience in data analytics or related area is desirable.<br> Languages<br>English and French are the working languages of the United Nations Secretariat. For this job opening, French <b>and</b> Arabic are required. English is desirable. The table below shows the minimum required level for each skill in these languages, according to the UN Language Framework (please consult https://languages.un.org for details).<br> .headtable { font-family: arial, sans-serif; border-collapse: collapse; width: 100%; border: 1px solid gray; border-radius: 10px; overflow: hidden; } .headTitle { font-family: Arial, Helvetica, sans-serif; font-size: 16px; font-weight: bold; /*color: rgb(65, 98, 145);*/ color:black; } .headtable tr td, .headtable tr th { text-align: center; vertical-align: middle; padding: 6px; } .headtable th{ background-color: #F4F4F4; color: #002d62; font-weight: bold; text-align: center; vertical-align: middle; padding: 12px; border-right: 1px solid #ccc; } .headtable td { text-align: center; vertical-align: middle; background-color: white; border-top: 1px solid #ccc; border-right: 1px solid #ccc; } .headtable th:last-child, .headtable td:last-child { border-right: none; } .headtable tr:last-child td { border-bottom: none; } .rounded-table-wrapper { border-radius: 12px; border: 1px solid #ccc; overflow: hidden; } Required LanguagesLanguageReadingWritingListeningSpeaking<br><b>French</b>UN Level IIUN Level IIUN Level IIUN Level II<br><b>Arabic</b>UN Level IIUN Level IIUN Level IIUN Level II<br>Desirable LanguagesLanguageReadingWritingListeningSpeaking<br><b>English</b>UN Level IUN Level IUN Level IUN Level I<br> <br> Assessment<br>Evaluation of qualified candidates for this position may include a substantive assessment, such as a written test, which may be followed by a competency-based interview.<br> Special Notice<br>This is a fixed-term position. Appointment or assignment against this position is for an initial period of one (1) year, and any extension will be subject to the availability of funds, budgetary approval, or extension of the mandate. Additionally, this recruitment process remains subject to budgetary, classification, and intergovernmental approvals. THIS POSITION IS OPEN TO NATIONALS OF ALGERIA. National Professional Officer category shall be of the nationality of the country where this position is located and will be recruited in the country or within commuting distance of the office. If no suitable local candidate is identified, ALGERIA nationals residing elsewhere may be considered, in which case the candidate would be responsible for any costs related to traveling and relocating to ALGERIA in the event of an employment offer. Staff members are subject to the authority of the Secretary-General and to assignment by him or her. In this context, all staff are expected to move periodically to new functions in their careers in accordance with established rules and procedures. When completing the form, ensure ALL fields, ALL professional experience and contact information are completed and up to date. This information is the basis for the hiring manager to assess your eligibility and suitability for the position and to contact you. Note to current staff members at the General Service level: Locally recruited General Service staff members applying for this post must meet the minimum requirements, including academic qualifications and years of relevant experience. Relevant experience in the General Service category at G-6 and G-7 levels may count towards experience requirements. The United Nations Secretariat is committed to achieving 50/50 gender balance in its staff. Female candidates are strongly encouraged to apply for this position. At the United Nations, the paramount consideration in the recruitment and employment of staff is the necessity of securing the highest standards of efficiency, competence and integrity, with due regard to geographic diversity. All employment decisions are made on the basis of qualifications and organizational needs. The United Nations is committed to creating a diverse and inclusive environment of mutual respect. The United Nations recruits and employs staff regardless of gender identity, sexual orientation, race, religious, cultural and ethnic backgrounds or disabilities. Reasonable accommodation for applicants with disabilities may be provided to support participation in the recruitment process when requested and indicated in the application. All applicants are strongly encouraged to apply on-line as soon as possible after the job opening has been posted and well before the deadline stated in the job opening. On-line applications will be acknowledged where an email address has been provided. If you do not receive an email acknowledgement within 24 hours of submission, your application may not have been received. If the problem persists, please seek technical assistance through the Inspira "Contact Us" link.<br> United Nations Considerations<br>According to article 101, paragraph 3, of the Charter of the United Nations, the paramount consideration in the employment of the staff is the necessity of securing the highest standards of efficiency, competence, and integrity. Candidates will not be considered for employment with the United Nations if they have committed violations of international human rights law, violations of international humanitarian law, sexual exploitation, sexual abuse, or sexual harassment, or if there are reasonable grounds to believe that they have been involved in </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Stage digitalisation de contrôle qualité dans l'aéronautique F/H </p><br><br><p>Stage</p><br><br><p>4 à 6 mois</p><br><br><p>Etudiant</p><br><br><p>Temps complet</p><br><br><p>Contexte :<br>Dans le cadre de sa démarche d'innovation et d'amélioration continue, Safran Nacelles explore la digitalisation et l'automatisation des contrôles qualité. La robustesse et la fiabilité des inspections visuelles étant un enjeu majeur dans l'industrie aéronautique, nous cherchons à évaluer l'apport d'outils numériques pour renforcer la détection des défauts sur nos pièces.<br>Mission :<br>Au sein de la Direction Qualité et en lien avec les équipes méthodes et production, vous serez chargé(e) de :<br>• Prendre en main les outils de contrôle visuel digitalisé déjà en place (caméras intelligentes, logiciels de vision industrielle). <br>• Mettre en place une méthodologie de test comparative entre le contrôle visuel humain et les outils digitaux sélectionnés. <br>• Identifier des applications possibles des outils, puis réaliser des essais sur pièces de production ou prototypes, collecter et analyser les données de performance (fiabilité, répétabilité, rapidité, types de défauts détectés).<br>• Mettre l'outil en utilisation série et former les compagnons/inspecteurs à l'utilisation des outils<br>• Proposer des axes d'amélioration, contribuer à l'adaptation des outils aux besoins spécifiques des contrôles aéronautiques.<br>• Synthétiser les résultats et formuler des recommandations sur la pertinence de déployer ces solutions dans nos ateliers.<br>• Présenter vos travaux devant les équipes pluridisciplinaires.<br>• Collaborer avec les équipes centrales pour transversaliser les meilleures pratiques. </p><br><br><p>Intégrer un grand groupe innovant et leader sur ses marchés.<br>Participer à un projet stratégique mêlant aéronautique, digitalisation et technologie de pointe.<br>Évoluer dans un environnement stimulant avec un accompagnement technique. </p><br><br><p>Étudiant(e) en Bac+4/5 école d'ingénieurs ou équivalent, avec spécialisation en génie industriel, qualité, automatisme.<br>Intérêt pour l'innovation, l'industrie 4.0, et les nouvelles technologies.<br>Connaissances de base en vision industrielle, traitement d'image, méthodes qualité.<br>Ce poste s'adresse à un candidat curieux, rigoureux et analytique, capable de faire preuve d'initiative. La mission comporte une forte dimension terrain avec un contact privilégié auprès des opérateurs.</p><br><br><br> </div>

<p><b>Job Description&nbsp;</b></p><p><br></p><p>We are looking for a Palantir Foundry with 3 4 years of experience in data engineering and hands-on experience with the Palantir Foundry platform . The candidate will be responsible for building data pipelines, integrating data sources, transforming data, and supporting data-driven applications. Key Responsibilities Develop and maintain scalable data pipelines using Palantir Foundry. Work with Foundry Ontology, datasets, pipelines, and transformations . Build and optimize ETL/ELT workflows for structured and unstructured data. Develop data transformations using Python and SQL . Integrate data from multiple sources into Palantir Foundry. Perform data cleansing, validation, and quality checks. Troubleshoot pipeline failures and resolve data-related issues. Collaborate with Data Scientists, Analysts, and Business teams to deliver data solutions. Follow best practices for data security, governance, and performance optimization. Required Skills 3 4 years of experience in Data Engineering. Hands-on experience with Palantir Foundry . Strong knowledge of Python and SQL . Experience in ETL/ELT and data pipeline development . Good understanding of data integration and data transformation. Experience working with relational databases and cloud/data platforms. Understanding of data quality, governance, and lineage . Strong problem-solving and analytical skills.</p><p><strong>Desired Candidate Profile</strong></p><h3>Required Skills</h3><ul><li>3-4 years of experience in Data Engineering.</li><li>Hands-on experience with Palantir Foundry.</li><li>Strong knowledge of Python and SQL.</li><li>Experience in ETL/ELT and data pipeline development.</li><li>Good understanding of data integration and data transformation.</li><li>Experience working with relational databases and cloud/data platforms.</li><li>Understanding of data quality, governance, and lineage.</li><li>Strong problem-solving and analytical skills.</li></ul>

<h3>Job Description</h3> <p>We are looking for a Palantir Foundry with 3 4 years of experience in data engineering and hands-on experience with the Palantir Foundry platform . The candidate will be responsible for building data pipelines, integrating data sources, transforming data, and supporting data-driven applications.</p> <h3>Qualifications</h3> <p>We are looking for strong Palantir Foundry / AIP engineers who can work across Application Development, Data Engineering, Ontology and AI . The ideal candidate should not be limited to building Foundry pipelines or dashboards. We are looking for someone who understands how to take a business problem from:</p> <ul> <li>External/Data Sources</li> <li>Data Engineering</li> <li>Ontology</li> <li>Business Logic &amp; Actions</li> <li>Applications</li> <li>AIP/AI Workflows</li> </ul> <p>Experience resembling an AI Forward Deployed Engineer (AI FDE) is highly desirable.</p> <p><strong>1. Palantir Foundry Core Skills</strong></p> <p>Profiles should demonstrate hands-on experience across several of the following areas:</p> <ul> <li>Data Integration &amp; Engineering</li> <li>Data Connections / external source integrations</li> <li>Pipeline Builder</li> <li>Code Repositories</li> <li>Python / PySpark transformations</li> <li>Dataset modelling and transformations</li> <li>Data quality, lineage and dependency management</li> <li>Contour analysis</li> <li>Quiver analysis</li> <li>Foundry Automate</li> </ul> <p>Candidates with strong traditional Data Engineering experience in addition to Palantir should receive additional preference.</p> <p><strong>2. Ontology Critical Skill</strong></p> <p>Strong Ontology knowledge is one of the most important screening criteria. Look for candidates who understand:</p> <ul> <li>Ontology Object Types</li> <li>Properties</li> <li>Relationships / Links</li> <li>Actions</li> <li>Functions</li> <li>Interfaces</li> <li>Object-backed applications</li> <li>Mapping datasets/data models into Ontology</li> <li>Designing Ontology around business concepts rather than simply exposing database tables</li> </ul> <p>The candidate should understand how Ontology acts as the business/semantic layer connecting data, applications, workflows and AI . A candidate who has extensive Foundry experience but little understanding of Ontology should not automatically be considered a strong Palantir profile .</p> <p><strong>3. Palantir Application Development</strong></p> <p>We want candidates who can build applications on top of the data and Ontology. Look for:</p> <ul> <li>Workshop Application development using Ontology Actions and workflows</li> <li>Functions developed through Code Repositories</li> <li>Developer Console</li> <li>React / TypeScript application development</li> <li>Building custom applications using Ontology APIs</li> <li>Integration of applications with external/internal enterprise systems</li> </ul> <p>Strong general software engineering or application-development experience is a significant advantage.</p> <p><strong>4. AIP / AI Capabilities</strong></p> <p>Candidates should have a good understanding of Palantir AIP and preferably hands-on experience with:</p> <ul> <li>AIP Logic</li> <li>LLM-powered workflows</li> <li>Agents / AI workflows</li> <li>Using Ontology as context for AI</li> <li>Tool/function calling</li> <li>AIP applications</li> <li>AI-driven Actions</li> <li>Human-in-the-loop workflows</li> <li>AI governance and access controls</li> <li>MCP / Model Context Protocol</li> <li>Connecting AI workflows with external systems and tools</li> </ul> <p>We prefer candidates who understand how AI is operationalized against enterprise data and business processes , rather than candidates whose AI knowledge is limited to prompting an LLM.</p> <p><strong>5. Programming &amp; Data Engineering</strong></p> <p>Strong programming ability is expected. High Priority</p> <ul> <li>Python</li> <li>PySpark</li> <li>SQL</li> <li>Data transformations</li> <li>Data modelling</li> <li>ETL/ELT concepts</li> <li>Large-scale data processing</li> </ul> <p>Additional Advantage</p> <ul> <li>React</li> <li>TypeScript / JavaScript</li> <li>REST APIs</li> <li>Backend/application development</li> <li>Cloud platforms</li> <li>Databricks / Spark or similar data platforms</li> </ul> <p>A strong Data Engineering background is a definite plus .</p> <p><strong>Preferred Candidate Profile</strong></p> <p>The strongest candidates will have a combination of three areas: Application Engineering + Data Engineering + AI Engineering For example:</p> <ul> <li><strong>Data Engineering</strong> Connections Pipeline Builder PySpark/Python Data Modelling Data Quality</li> <li><strong>Palantir Semantic &amp; Operational Layer</strong> Ontology Objects Relationships Actions Functions Automate</li> <li><strong>Application &amp; AI Layer</strong> Workshop / Developer Console React Applications AIP Logic Agents MCP / External Tools</li> </ul> <p>Candidates who can comfortably work across these layers should be prioritized.</p> <p><strong>Screening Priority</strong></p> <p>When reviewing profiles, prioritize approximately in this order:</p> <ol> <li>Strong Palantir Foundry hands-on experience</li> <li>Strong Ontology understanding</li> <li>Python / PySpark and Data Engineering</li> <li>AIP / AIP Logic / AI workflows</li> <li>Actions, Functions and Code Repositories</li> <li>Pipeline Builder and Data Connections</li> <li>Workshop / application development</li> <li>Developer Console + React/TypeScript</li> <li>Automate</li> <li>Contour / Quiver</li> <li>MCP / external AI/tool integrations</li> </ol> <p>Do not reject an otherwise excellent candidate simply because they haven't used every Palantir application. We are primarily looking for breadth of architecture understanding combined with depth in several areas .</p> <p><strong>Profiles to Avoid</strong></p> <p>Be cautious with candidates whose Palantir experience is predominantly:</p> <ul> <li>Contour/dashboard/report development</li> <li>Basic Pipeline Builder usage only</li> <li>SQL transformations without broader engineering experience</li> <li>Foundry administration/support</li> <li>Data ingestion without Ontology experience</li> <li>Workshop configuration without application-development fundamentals</li> <li>Generic GenAI experience with very little Palantir AIP exposure</li> </ul> <p>These candidates may have Palantir exposure but may not fit the engineering capability we are looking for.</p><p><strong>Desired Candidate Profile</strong></p><h3>Qualifications</h3> <p>We are looking for strong Palantir Foundry / AIP engineers who can work across Application Development, Data Engineering, Ontology and AI . The ideal candidate should not be limited to building Foundry pipelines or dashboards. We are looking for someone who understands how to take a business problem from:</p> <ul> <li>External/Data Sources</li> <li>Data Engineering</li> <li>Ontology</li> <li>Business Logic &amp; Actions</li> <li>Applications</li> <li>AIP/AI Workflows</li> </ul> <p>Experience resembling an AI Forward Deployed Engineer (AI FDE) is highly desirable.</p> <p><strong>1. Palantir Foundry Core Skills</strong></p> <p>Profiles should demonstrate hands-on experience across several of the following areas:</p> <ul> <li>Data Integration &amp; Engineering</li> <li>Data Connections / external source integrations</li> <li>Pipeline Builder</li> <li>Code Repositories</li> <li>Python / PySpark transformations</li> <li>Dataset modelling and transformations</li> <li>Data quality, lineage and dependency management</li> <li>Contour analysis</li> <li>Quiver analysis</li> <li>Foundry Automate</li> </ul> <p>Candidates with strong traditional Data Engineering experience in addition to Palantir should receive additional preference.</p> <p><strong>2. Ontology Critical Skill</strong></p> <p>Strong Ontology knowledge is one of the most important screening criteria. Look for candidates who understand:</p> <ul> <li>Ontology Object Types</li> <li>Properties</li> <li>Relationships / Links</li> <li>Actions</li> <li>Functions</li> <li>Interfaces</li> <li>Object-backed applications</li> <li>Mapping datasets/data models into Ontology</li> <li>Designing Ontology around business concepts rather than simply exposing database tables</li> </ul> <p>The candidate should understand how Ontology acts as the business/semantic layer connecting data, applications, workflows and AI . A candidate who has extensive Foundry experience but little understanding of Ontology should not automatically be considered a strong Palantir profile .</p> <p><strong>3. Palantir Application Development</strong></p> <p>We want candidates who can build applications on top of the data and Ontology. Look for:</p> <ul> <li>Workshop Application development using Ontology Actions and workflows</li> <li>Functions developed through Code Repositories</li> <li>Developer Console</li> <li>React / TypeScript application development</li> <li>Building custom applications using Ontology APIs</li> <li>Integration of applications with external/internal enterprise systems</li> </ul> <p>Strong general software engineering or application-development experience is a significant advantage.</p> <p><strong>4. AIP / AI Capabilities</strong></p> <p>Candidates should have a good understanding of Palantir AIP and preferably hands-on experience with:</p> <ul> <li>AIP Logic</li> <li>LLM-powered workflows</li> <li>Agents / AI workflows</li> <li>Using Ontology as context for AI</li> <li>Tool/function calling</li> <li>AIP applications</li> <li>AI-driven Actions</li> <li>Human-in-the-loop workflows</li> <li>AI governance and access controls</li> <li>MCP / Model Context Protocol</li> <li>Connecting AI workflows with external systems and tools</li> </ul> <p>We prefer candidates who understand how AI is operationalized against enterprise data and business processes , rather than candidates whose AI knowledge is limited to prompting an LLM.</p> <p><strong>5. Programming &amp; Data Engineering</strong></p> <p>Strong programming ability is expected. High Priority</p> <ul> <li>Python</li> <li>PySpark</li> <li>SQL</li> <li>Data transformations</li> <li>Data modelling</li> <li>ETL/ELT concepts</li> <li>Large-scale data processing</li> </ul> <p>Additional Advantage</p> <ul> <li>React</li> <li>TypeScript / JavaScript</li> <li>REST APIs</li> <li>Backend/application development</li> <li>Cloud platforms</li> <li>Databricks / Spark or similar data platforms</li> </ul> <p>A strong Data Engineering background is a definite plus .</p> <p><strong>Preferred Candidate Profile</strong></p> <p>The strongest candidates will have a combination of three areas: Application Engineering + Data Engineering + AI Engineering For example:</p> <ul> <li><strong>Data Engineering</strong> Connections Pipeline Builder PySpark/Python Data Modelling Data Quality</li> <li><strong>Palantir Semantic &amp; Operational Layer</strong> Ontology Objects Relationships Actions Functions Automate</li> <li><strong>Application &amp; AI Layer</strong> Workshop / Developer Console React Applications AIP Logic Agents MCP / External Tools</li> </ul> <p>Candidates who can comfortably work across these layers should be prioritized.</p> <p><strong>Screening Priority</strong></p> <p>When reviewing profiles, prioritize approximately in this order:</p> <ol> <li>Strong Palantir Foundry hands-on experience</li> <li>Strong Ontology understanding</li> <li>Python / PySpark and Data Engineering</li> <li>AIP / AIP Logic / AI workflows</li> <li>Actions, Functions and Code Repositories</li> <li>Pipeline Builder and Data Connections</li> <li>Workshop / application development</li> <li>Developer Console + React/TypeScript</li> <li>Automate</li> <li>Contour / Quiver</li> <li>MCP / external AI/tool integrations</li> </ol> <p>Do not reject an otherwise excellent candidate simply because they haven't used every Palantir application. We are primarily looking for breadth of architecture understanding combined with depth in several areas .</p> <p><strong>Profiles to Avoid</strong></p> <p>Be cautious with candidates whose Palantir experience is predominantly:</p> <ul> <li>Contour/dashboard/report development</li> <li>Basic Pipeline Builder usage only</li> <li>SQL transformations without broader engineering experience</li> <li>Foundry administration/support</li> <li>Data ingestion without Ontology experience</li> <li>Workshop configuration without application-development fundamentals</li> <li>Generic GenAI experience with very little Palantir AIP exposure</li> </ul> <p>These candidates may have Palantir exposure but may not fit the engineering capability we are looking for.</p> <p><strong>Ideal Summary</strong></p> <p>The ideal candidate should be capable of saying: I can connect enterprise data into Foundry, engineer and transform it using Python/PySpark and Pipeline Builder, model the business domain through Ontology, expose business operations through Actions and Functions, build applications using Workshop or React/Developer Console, and use AIP Logic/AI agents to create intelligent workflows that operate securely against enterprise data and systems.</p>

<p>The Sales Analyst is responsible for collecting, analyzing, modeling, and visualizing data to support strategic decision-making and business performance monitoring. The role ensures the reliability of reporting systems, automation of data processes, and the development of analytical dashboards and KPIs for different business functions.</p><p><strong>Duties and Responsibilities:</strong></p><p><strong>Data Collection, Management &amp; Governance</strong></p><ul><li>Collect,consolidate, and validate data from multiple sources, including ERP, CRM,IQVIA, and field force files.</li><li>Ensure the quality, consistency, accuracy, and reliability of commercial data.</li><li>Structure and automate data flows to optimize reporting processes and improve efficiency.</li><li>Contribute to the continuous improvement of data governance practices and data management processes.</li></ul><p><strong>Data Modeling &amp; Business Intelligence Development</strong></p><ul><li>Design,develop, and maintain analytical databases and data repositories.</li><li>Develop and optimize SQL and SQL Analysis Services (SSAS) data models.</li><li>Create datasets and data models tailored to business and analytical requirements.</li><li>Support the automation of reporting processes and enhance BI system performance.</li></ul><p><strong>Reporting &amp; Performance Monitoring</strong></p><ul><li>Develop and maintain interactive dashboards using Power BI and advanced Excel tools.</li><li>Monitor commercial KPIs and business performance indicators.</li><li>Produce regular reports and analytical dashboards for commercial teams and management.</li><li>Implement automated reporting solutions to support analysis and decision-making processes.</li></ul><p><strong>Business Analytics &amp; Decision Support</strong></p><ul><li>Transformcomplex data into actionable insights for business stakeholders.</li><li>Support sales forecasting activities and trend analysis initiatives.</li><li>Assist commercial teams in leveraging BI tools and analytical solutions effectively.</li><li>Contribute to the development of predictive analytics models and decision-support solutions.</li><li>Provide recommendations based on data analysis to support strategic and operational decisions.</li><li>Collaborate with cross-functional teams to identify business needs and deliver analytical solutions.</li></ul><p><strong>Desired Candidate Profile</strong></p><p><strong>Job Requirements:</strong></p><p>Education: Bachelor s degree in data Analytics, Business Intelligence, Statistics, Computer Science, or a related field.</p><p>Experience: Relevant experience in data analysis, reporting, or business intelligence is preferred.</p><p><strong>Professional Knowledge:</strong></p><ul><li>Strong knowledge of SQL Server and SQL Analysis Services (SSAS)</li><li>Advanced proficiency in Power BI</li><li>Advanced Excel skills including Power Query and Power Pivot</li><li>Knowledge of ETL processes and data automation techniques</li><li>Expertise in data visualization and dashboard development</li><li>Strong understanding of data analysis and commercial KPIs</li><li>Knowledge of automated reporting systems and analytical tools</li></ul><p><strong>Main Competencies:</strong></p><ul><li>Strong analytical and problem-solving skills</li><li>Attention to detail and data accuracy</li><li>Ability to interpret complex data and generate actionable insights</li><li>Good communication and presentation skills</li><li>Ability to manage multiple priorities and deadlines</li><li>Teamwork and cross-functional collaboration abilities</li><li>Results-oriented mindset and continuous improvement approach</li></ul>

<p>We are looking for a <strong>Palantir Foundry </strong> with 3 4 years of experience in data engineering and hands-on experience with the <strong>Palantir Foundry platform</strong>. The candidate will be responsible for building data pipelines, integrating data sources, transforming data, and supporting data-driven applications.</p> <p> </p> <p>Qualifications </p> <p>We are looking for strong <strong>Palantir Foundry / AIP engineers</strong> who can work across <strong>Application Development, Data Engineering, Ontology and AI</strong>.</p> <p>The ideal candidate should not be limited to building Foundry pipelines or dashboards. We are looking for someone who understands how to take a business problem from:</p> <p> <strong>External/Data Sources Data Engineering Ontology Business Logic &amp; Actions Applications AIP/AI Workflows</strong> </p> <p>Experience resembling an <strong>AI Forward Deployed Engineer (AI FDE)</strong> is highly desirable.</p> <p>1. Palantir Foundry Core Skills</p> <p>Profiles should demonstrate hands-on experience across several of the following areas:</p> <p> <strong>Data Integration &amp; Engineering</strong> </p> <ul> <li>Data Connections / external source integrations</li> <li>Pipeline Builder</li> <li>Code Repositories</li> <li>Python / PySpark transformations</li> <li>Dataset modelling and transformations</li> <li>Data quality, lineage and dependency management</li> <li>Contour analysis</li> <li>Quiver analysis</li> <li>Foundry Automate </li> </ul> <p>Candidates with strong traditional <strong>Data Engineering</strong> experience in addition to Palantir should receive additional preference.</p> <p>2. Ontology Critical Skill</p> <p> <strong>Strong Ontology knowledge is one of the most important screening criteria.</strong> </p> <p>Look for candidates who understand:</p> <ul> <li>Ontology Object Types</li> <li>Properties</li> <li>Relationships / Links</li> <li>Actions</li> <li>Functions</li> <li>Interfaces</li> <li>Object-backed applications</li> <li>Mapping datasets/data models into Ontology</li> <li>Designing Ontology around business concepts rather than simply exposing database tables </li> </ul> <p>The candidate should understand how Ontology acts as the <strong>business/semantic layer connecting data, applications, workflows and AI</strong>.</p> <p>A candidate who has extensive Foundry experience but little understanding of Ontology should <strong>not automatically be considered a strong Palantir profile</strong>.</p> <p>3. Palantir Application Development</p> <p>We want candidates who can build applications on top of the data and Ontology.</p> <p>Look for:</p> <ul> <li>Workshop</li> <li>Application development using Ontology</li> <li>Actions and workflows</li> <li>Functions developed through Code Repositories</li> <li>Developer Console</li> <li>React / TypeScript application development</li> <li>Building custom applications using Ontology APIs</li> <li>Integration of applications with external/internal enterprise systems </li> </ul> <p>Strong general software engineering or application-development experience is a significant advantage.</p> <p>4. AIP / AI Capabilities</p> <p>Candidates should have a good understanding of <strong>Palantir AIP</strong> and preferably hands-on experience with:</p> <ul> <li>AIP Logic</li> <li>LLM-powered workflows</li> <li>Agents / AI workflows</li> <li>Using Ontology as context for AI</li> <li>Tool/function calling</li> <li>AIP applications</li> <li>AI-driven Actions</li> <li>Human-in-the-loop workflows</li> <li>AI governance and access controls</li> <li>MCP / Model Context Protocol</li> <li>Connecting AI workflows with external systems and tools </li> </ul> <p>We prefer candidates who understand <strong>how AI is operationalized against enterprise data and business processes</strong>, rather than candidates whose AI knowledge is limited to prompting an LLM.</p> <p>5. Programming &amp; Data Engineering</p> <p>Strong programming ability is expected.</p> <p> <strong>High Priority</strong> </p> <ul> <li>Python</li> <li>PySpark</li> <li>SQL</li> <li>Data transformations</li> <li>Data modelling</li> <li>ETL/ELT concepts</li> <li>Large-scale data processing </li> </ul> <p> <strong>Additional Advantage</strong> </p> <ul> <li>React</li> <li>TypeScript / JavaScript</li> <li>REST APIs</li> <li>Backend/application development</li> <li>Cloud platforms</li> <li>Databricks / Spark or similar data platforms </li> </ul> <p>A strong <strong>Data Engineering background is a definite plus</strong>.</p> <p>Preferred Candidate Profile</p> <p>The strongest candidates will have a combination of three areas:</p> <p> <strong>Application Engineering + Data Engineering + AI Engineering</strong></p><p><strong>Desired Candidate Profile</strong></p><p><br></p>

<p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Contact a list of prospects by phone, text message, or email campaigns. Briefly present the consultation/guidance session or webinar. Secure registrations and appointments. Follow a script/message template provided upon onboarding. For email marketing profiles: write and send mass email campaigns, track responses, and send reminders. Excellent oral and/or written communication skills are required, depending on the channel (phone or email). The ideal candidate is motivated, rigorous, autonomous, and proactive in developing their own network of contacts. Entry-level candidates are welcome; this position is open to junior profiles and those at the beginning of their career (this position is not suitable for experienced senior profiles). Compensation: 100% commission-based, depending on results achieved. Commission is based on confirmed appointments and/or registrations. The commission scale will be discussed during the interview. Support, call script, and message templates provided. Email template ready for teleworking. Onboarding support and training. Leadership coaching available for the most committed candidates. If you match this profile, please send your CV by clicking on the "Apply" tab. Algiers, Algiers-Centre</font></font></p><p><strong>Desired Candidate Profile</strong></p><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Motivated, rigorous, autonomous, with a proactive approach to developing their own network of contacts. Entry-level candidates accepted; this position is open to junior profiles and those at the beginning of their career (this position is not suitable for experienced senior profiles).</font></font></p>

<p>Conduct topographic surveys and field work. Ensure the collection, analysis, and processing of geospatial data. Prepare topographic maps, charts, and technical documents. Use measuring equipment (GPS, total station, drone, GIS, etc.). Participate in monitoring construction, development, and infrastructure projects. Control the conformity of surveys and guarantee data accuracy. Write technical reports and ensure archiving of collected data. Ensure compliance with technical standards and safety regulations.</p><p><strong>Desired Candidate Profile</strong></p><p>State Engineer diploma in Geomatics, Topography or similar field. Good command of GIS, CAD/CAM software and geographic data processing. Knowledge of topographic instruments and surveying techniques. Analytical skills, rigor, and precision.</p>

<ul> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Designing multidimensional, relational data models, data warehouses, and data marts</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Development of ETL (Extraction, Processing and Loading) pipelines to retrieve data from sources to destination (DW)</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Automatic deployment and execution of data loading jobs</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Collaborating with business teams to understand their data analysis needs</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Implementing OLAP cubes for multidimensional analysis</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Present and interpret the results or dashboards to the project team</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Design and develop interactive dashboards to present analysis results in a user-friendly way.</font></font></li> </ul> <p> <b><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Benefits</font></font></b> </p> <ul> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">A training mission with varied responsibilities.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Stimulating career development prospects.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Personalized support for your skills development.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">A pleasant and collaborative working environment.</font></font></li> </ul><p><strong>Desired Candidate Profile</strong></p><ul> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Master's degree (Bac +5 level) in Computer Science, Telecommunications, Electronics, Operations Research, Business Intelligence.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">One (01) year in the field of information technology / data analysis.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Strong skills in data analysis and problem-solving.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Proficiency in data visualization tools (e.g., Tableau, Power BI).</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Good knowledge of databases and the SQL language.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Ability to communicate technical information effectively.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Team spirit and proactivity.</font></font></li> </ul>

<p><br></p> <p> <b>Job purpose:</b> </p> <p>As the <b>Local Privacy Officer (LPO) for Algeria</b>, the incumbent serves as the primary point of contact and accountability for all data privacy matters within Sanofi Algeria. The role ensures full compliance with Algerian data protection legislation including obligations and the main point of contact under the national data protection authority <b>ANPDP (Autorit Nationale de Protection des Donn es Caract re Personnel)</b> as well as alignment with Sanofi's global privacy framework, policies, and standards.</p> <p>Beyond the core country mandate, this position carries an <b>extended scope</b> covering one or more of the following areas: <b>Africa MCO</b> (Multi-Country Organization), <b>Global Health Unit (GHU)</b>, <b>Global Privacy initiatives</b>, or designated <b>International Region</b> countries. In this capacity, the role acts as a trusted privacy business partner across a broader geography, supporting regional governance, multi-country programs, and global workstreams under the direction of the Africa MCO Data Privacy Officer.</p> <p>The Local Privacy Officer is a key promoter of a culture that prioritizes the protection of personal information. Acting as a strategic business partner accountable for assessing, mitigating, and independently monitoring the privacy risks within their respective Markets/clusters, the role enables data-driven opportunities while maintaining a responsible, ethical, and compliant approach to personal data management.</p> <p> <i> </i> </p> <p> <i>Key accountability: </i> </p> <p>Core Algeria Local Privacy Officer</p> <p> </p> <ul> <li>Serve as the formally designated <b>Local Privacy Officer (LPO)</b> for Sanofi Algeria, acting as the primary interface between the local affiliate and the Africa MCO Data Privacy Officer, the Global Privacy Office, and the Algerian data protection authority (ANPDP).</li> <li>Maintain, update, and govern the <b>Records of Processing Activities (RoPA)</b> for all personal data processing operations conducted by Sanofi Algeria, ensuring accuracy, completeness, and alignment with global standards.<ul> <li>Appoint and manage a network of Privacy Champions (point of contacts) within the relevant local departments; </li> </ul> <ul> <li>Chair the Local Privacy Working Group consisting of appointed Privacy Champions. Through this working Group, design, secure sponsorship and deliver the Local action plan for Privacy;</li> </ul> <ul> <li>Actively contribute to Privacy Transformation Working Groups where appointed, cascade action plans to Privacy Champions where needed;</li> </ul> <ul> <li>Actively monitor local privacy regulations/enforcements, and implement local adaptations of global procedures when required by local laws;</li> </ul> <ul> <li>Contribute to internal position papers, represent Sanofi in industry advocacy efforts (trade associations);</li> </ul> <ul> <li>Report Program and Operations KPIs through the Global Privacy dashboard;</li> </ul> </li> <li>In accordance with the Global Privacy reporting framework, produce a yearly activity report and present it to the Country chair and local business operations;</li> <li>Lead and coordinate <b>Privacy Impact Assessments (PIAs) and Data Protection Impact Assessments (DPIAs)</b> for local business projects, digital initiatives, clinical activities, and HR processes, ensuring risks are identified, assessed, and mitigated appropriately.</li> <li>Provide <b>proactive privacy advisory</b> to local business functions including Commercial, Medical, HR, Legal, IT, and Digital teams on data privacy obligations, new regulatory developments, and best practices.</li> <li>Manage and coordinate <b>data subject requests</b> (right of access, rectification, erasure, portability, objection) in accordance with applicable Algerian law and Sanofi's global procedures, ensuring timely and compliant responses.</li> <li>Oversee the <b>data breach management process</b> for Algeria, including detection, internal escalation, documentation, and regulatory notification to ANPDP where required, in coordination with the Africa MCO DPO and Global Privacy team.</li> <li>Serve as the primary <b>liaison with the ANPDP</b>, managing regulatory filings, declarations, prior authorizations, and any formal correspondence or inspections.<ul> <li> <b>For local projects, </b>ensure assessment processes are respected:</li> </ul> <ul> <li>Promote and champion the usage of the Privacy Checklist by the Business to ensure Privacy-By-Design principles are implemented within projects;</li> </ul> <ul> <li>Review &amp; validate Personal Data Protection Assessments (PDPA) in Onetrust;</li> </ul> <ul> <li>When relevant, review and validate Study Compliance Forms or other relevant study questionnaires;</li> </ul> <ul> <li>Document local variations from global processes and procedures;</li> </ul> <ul> <li>Ensure that local registrations/filings with competent data protection authorities are completed;</li> </ul> </li> </ul> <ul> <li> <b>For Global projects,</b> partner with the BU/GF Privacy Officer in ensuring local practices or regulations are considered at the early stage of design, escalating showstoppers, and offering local resolutions;</li> <li>Actively contribute to Sanofi Global Privacy Training strategy in ensuring Materials designed centrally are fit for purpose, review translations and establish the relevant priority audience. Design, coordinate, and track the delivery of <b>local privacy training and awareness programs</b>, ensuring all relevant employees and contractors are appropriately informed of their data privacy obligations.</li> <li>Support the review, negotiation, and execution of <b>Data Processing Agreements (DPAs)</b> and conduct <b>third-party vendor privacy assessments</b> to ensure compliant data sharing and processing arrangements.</li> <li>Monitor the <b>Algerian data protection regulatory landscape</b>, proactively identifying legislative changes and assessing their impact on Sanofi's operations, and escalating material risks to the Africa MCO DPO.</li> <li>Maintain and report on <b>local privacy compliance metrics and KPIs</b>, contributing to regional and global governance reporting cycles.</li> <li>Ensure the proper implementation of <b>Sanofi's global privacy policies, standards, and procedures</b> at the local level, adapting them to local legal requirements where necessary.</li> <li>Partner with Sanofi Auditors for the planning and execution of internal audits; </li> <li>Manage data protection dawn raids in accordance with GPO dawn-raid procedure and local requirements;</li> </ul> <p> </p> <p>Extended Scope Africa MCO / Global Health Unit / Global Privacy / International Region</p> <p> </p> <p> Support the <b>Africa MCO Data Privacy Officer</b> in coordinating and overseeing privacy activities across the MCO, including multi-country project reviews, regional risk assessments, compliance monitoring, and governance reporting.</p><p><strong>Desired Candidate Profile</strong></p><ul> <li>Soft skills: Strong business acumen Personally mature, able to deal effectively with complex issues and manage conflicts Highly self-organized and accurate with documents Relationship building &amp; networking / influencing skills;</li> <li>Technical skills: Privacy certification CIPP highly desired, OneTrust (advanced);</li> <li>Education: Bachelor's or Master's degree in Law, Information Technology, Business Administration, or a related field. A specialization in data protection or privacy law is a strong advantage.</li> <li>Knowledge: Strong working knowledge of Algerian data protection law and ANPDP regulatory requirements. Solid understanding of GDPR principles and international privacy frameworks. Familiarity with privacy risk management methodologies, PIA/DPIA processes, and data governance practices.</li> <li>Experience: Minimum 3 5 years of professional experience in data privacy, legal compliance, or a closely related field. Prior experience in the pharmaceutical, healthcare, or life sciences sector is highly desirable. Experience working in a multi-country or regional role is an asset.</li> <li>Languages: Full professional fluency in Arabic and French (required). Professional proficiency in English is strongly preferred to enable effective collaboration with global and regional teams.</li> </ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<div> <div>Opening from Default - All locations</div> <div> <div> <strong>Yassir</strong> is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in <strong>45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa</strong>. It is backed (~<strong>$200M in funding</strong>) by VCs from Silicon Valley, Europe and other parts of the world.</div> <div>We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally.</div> <div>Helping usher the continent into a digital economy era. We re not just about serving people - we re about creating a marketplace to bring people what they need while infusing social values.</div> <div> </div> <div> <div> <div> <div> <strong>ABOUT THE ROLE :</strong> </div> <div> </div> <div>We are looking for an experienced product manager to join our Super App and Mobility Initiative. You will join the team that leads and owns the Product vision and roadmap for Yassir Super App products. If you possess unparalleled strategic thinking, big picture person, business acumen, you are obsessed with customer jobs-to-be-done, and you are detailed-oriented, then we are looking for you!</div> <div> </div> <div> <strong>TASKS : </strong> </div> <div> <ul> <li>Work with customers to understand jobs to be done and design user journeys</li> <li>Develop user stories translating business requirements into specifications the design and tech team can act upon </li> <li>Own the product roadmap and oversee its execution while balancing requirements across products and countries </li> <li>Contribute to the company culture and be responsible for the success and personal growth of our product managers </li> <li>Contribute to the company's overall strategy working closely with the engineering, data, and operations teams </li> <li>Manage the different stakeholders across countries and products</li> </ul> <div>REQUIRMENTS :</div> <div> </div> <div> <ul> <li>+5 years experience as a product manager or in a similar senior-level position</li> <li>management skills, ideally experience managing remote teams.</li> <li>Experience in a rapidly growing company in the mobility, on-demand, or delivery space is a plus</li> <li>BSc/MSc in Engineering, Computer Science, Design or relevant field</li> </ul> <div>BENEFITS :</div> <div> <ul> <li>Great compensation and bonuses including stock options.</li> <li>Ground floor opportunity with the team; shape the strategic direction of the company</li> <li>Sharp, motivated co-workers in a fun office environment or in remote </li> <li>Paid company holidays</li> <li>Full social coverage</li> </ul> <div>WHY YOU SHOULD JOIN YASSIR :</div> <div> </div> <div> <ul> <li>Join one of the fastest-growing tech companies in North Africa</li> <li>Have a lasting impact on our company's culture</li> <li>Make a real impact on the world by helping us bring affordable financial and on-demand services to millions of Africans</li> <li>Work on some really hard technical challenges from identity infrastructure for Africans, digital payment networks to complex mapping and routing systems across the continent.</li> <li>We are the first Algerian startup to go through Y Combinator program and we re backed by top investors including Unpopular Ventures, Rebel Fund and DainTree.VC </li> </ul> </div> </div> </div> </div> </div> </div> </div> </div> </div> <div> <div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><i>About the job</i>&nbsp;</p><br><p><b>Job purpose:</b></p><br><p>As the <b>Local Privacy Officer (LPO) for Algeria</b>, the incumbent serves as the primary point of contact and accountability for all data privacy matters within Sanofi Algeria. The role ensures full compliance with Algerian data protection legislation — including obligations and the main point of contact under the national data protection authority <b>ANPDP (Autorité Nationale de Protection des Données à Caractère Personnel)</b> — as well as alignment with Sanofi's global privacy framework, policies, and standards.</p><br><p>Beyond the core country mandate, this position carries an <b>extended scope</b> covering one or more of the following areas: <b>Africa MCO</b> (Multi-Country Organization), <b>Global Health Unit (GHU)</b>, <b>Global Privacy initiatives</b>, or designated <b>International Region</b> countries. In this capacity, the role acts as a trusted privacy business partner across a broader geography, supporting regional governance, multi-country programs, and global workstreams under the direction of the Africa MCO Data Privacy Officer.</p><br><p>The Local Privacy Officer is a key promoter of a culture that prioritizes the protection of personal information. Acting as a strategic business partner accountable for assessing, mitigating, and independently monitoring the privacy risks within their respective Markets/clusters, the role enables data-driven opportunities while maintaining a responsible, ethical, and compliant approach to personal data management.</p><br><p><i>Key accountability:&nbsp;&nbsp;&nbsp;</i></p><br><p>Core – Algeria Local Privacy Officer</p><br><ul><li>Serve as the formally designated <b>Local Privacy Officer (LPO)</b> for Sanofi Algeria, acting as the primary interface between the local affiliate and the Africa MCO Data Privacy Officer, the Global Privacy Office, and the Algerian data protection authority (ANPDP).</li><li>Maintain, update, and govern the <b>Records of Processing Activities (RoPA)</b> for all personal data processing operations conducted by Sanofi Algeria, ensuring accuracy, completeness, and alignment with global standards.<ul><li>Appoint and manage a network of Privacy Champions (point of contacts) within the relevant local departments;&nbsp;</li></ul><ul><li>Chair the Local Privacy Working Group consisting of appointed Privacy Champions. Through this working Group, design, secure sponsorship and deliver the Local action plan for Privacy;</li></ul><ul><li>Actively contribute to Privacy Transformation Working Groups where appointed, cascade action plans to Privacy Champions where needed;</li></ul><ul><li>Actively monitor local privacy regulations/enforcements, and implement local adaptations of global procedures when required by local laws;</li></ul><ul><li>Contribute to internal position papers, represent Sanofi in industry advocacy efforts (trade associations);</li></ul><ul><li>Report Program and Operations KPIs through the Global Privacy dashboard;</li></ul></li><li>In accordance with the Global Privacy reporting framework, produce a yearly activity report and present it to the Country chair and local business operations;</li><li>Lead and coordinate <b>Privacy Impact Assessments (PIAs) and Data Protection Impact Assessments (DPIAs)</b> for local business projects, digital initiatives, clinical activities, and HR processes, ensuring risks are identified, assessed, and mitigated appropriately.</li><li>Provide <b>proactive privacy advisory</b> to local business functions including Commercial, Medical, HR, Legal, IT, and Digital teams on data privacy obligations, new regulatory developments, and best practices.</li><li>Manage and coordinate <b>data subject requests</b> (right of access, rectification, erasure, portability, objection) in accordance with applicable Algerian law and Sanofi's global procedures, ensuring timely and compliant responses.</li><li>Oversee the <b>data breach management process</b> for Algeria, including detection, internal escalation, documentation, and regulatory notification to ANPDP where required, in coordination with the Africa MCO DPO and Global Privacy team.</li><li>Serve as the primary <b>liaison with the ANPDP</b>, managing regulatory filings, declarations, prior authorizations, and any formal correspondence or inspections.<ul><li><b>For local projects, </b>ensure assessment processes are respected:</li></ul><ul><li>Promote and champion the usage of the Privacy Checklist by the Business to ensure Privacy-By-Design principles are implemented within projects;</li></ul><ul><li>Review &amp; validate Personal Data Protection Assessments (PDPA) in Onetrust;</li></ul><ul><li>When relevant, review and validate Study Compliance Forms or other relevant study questionnaires;</li></ul><ul><li>Document local variations from global processes and procedures;</li></ul><ul><li>Ensure that local registrations/filings with competent data protection authorities are completed;</li></ul></li></ul><ul><li><b>For Global projects,</b> partner with the BU/GF Privacy Officer in ensuring local practices or regulations are considered at the early stage of design, escalating showstoppers, and offering local resolutions;</li><li>Actively contribute to Sanofi Global Privacy Training strategy in ensuring Materials designed centrally are fit for purpose, review translations and establish the relevant priority audience. Design, coordinate, and track the delivery of <b>local privacy training and awareness programs</b>, ensuring all relevant employees and contractors are appropriately informed of their data privacy obligations.</li><li>Support the review, negotiation, and execution of <b>Data Processing Agreements (DPAs)</b> and conduct <b>third-party vendor privacy assessments</b> to ensure compliant data sharing and processing arrangements.</li><li>Monitor the <b>Algerian data protection regulatory landscape</b>, proactively identifying legislative changes and assessing their impact on Sanofi's operations, and escalating material risks to the Africa MCO DPO.</li><li>Maintain and report on <b>local privacy compliance metrics and KPIs</b>, contributing to regional and global governance reporting cycles.</li><li>Ensure the proper implementation of <b>Sanofi's global privacy policies, standards, and procedures</b> at the local level, adapting them to local legal requirements where necessary.</li><li>Partner with Sanofi Auditors for the planning and execution of internal audits;&nbsp;</li><li>Manage data protection dawn raids in accordance with GPO dawn-raid procedure and local requirements;</li></ul><p>Extended Scope – Africa MCO / Global Health Unit / Global Privacy / International Region</p><br><p>• Support the <b>Africa MCO Data Privacy Officer</b> in coordinating and overseeing privacy activities across the MCO, including multi-country project reviews, regional risk assessments, compliance monitoring, and governance reporting.</p><br><p>• Support <b>Global Health Unit initiatives</b> and projects, coordinating and overseeing privacy activities, including multi-country project reviews, regional risk assessments, compliance monitoring, and governance reporting.</p><br><p>• Contribute actively to <b>Global Privacy programs and workstreams</b>, including the development and rollout of global policies, privacy tooling (e.g., OneTrust), consent management frameworks, and cross-functional compliance initiatives.</p><br><p>• Act as <b>Privacy Business Partner for additional International Region countries</b> as assigned.</p><br><p>• Participate in and contribute to the <b>Global Privacy Network</b>, sharing best practices, lessons learned, and regulatory intelligence across the international privacy community within Sanofi.</p><br><p>• Represent the Africa MCO or International Region in <b>global privacy governance forums, working groups, and steering committees</b> as delegated by the Africa MCO Data Privacy Officer.</p><br><p><i>Key Working Relationships</i></p><br><p><u>Internal:</u></p><br><ul><li>Direct local privacy champions with clear expected outcomes in line with the local action;</li></ul><ul><li>As the voice of privacy rights of employees, act with integrity and independence with regards to resolutions of potential conflicts;</li></ul><ul><li>Establish credibility and influence local senior stakeholders such as General management, Digital, P&amp;C, LEBI, Medical, Regulatory, Commercial &amp; Digital;</li></ul><ul><li>Confident in escalating project risks and issues to senior leaders individually and collectively, i.e.. The global privacy committee;</li></ul><p><u>External:</u></p><br><ul><li>As the voice of privacy rights of external Data Subjects (candidate, consumers, patients, HCPs and Third Party vendors), act with integrity and independence with regards to resolutions of potential conflicts;</li></ul><ul><li>As the main point of contact of Algerian Data Protection Authority — ANPDP (Autorité Nationale de Protection des Données à Caractère Personnel), establish an active relationship in line with Sanofi commitments;</li></ul><ul><li>Represent Sanofi within local Privacy and trade associations;</li></ul><ul><li>External legal counsel (as required)</li></ul><ul><li>Regulatory bodies in International Region countries (where extended scope applies)</li></ul><p><u>Qualifications</u></p><br><ul><li>Soft skills: Strong business acumen • Personally mature, able to deal effectively with complex issues and manage conflicts • Highly self-organized and accurate with documents • Relationship building &amp; networking / influencing skills;</li></ul><ul><li>Technical skills: Privacy certification CIPP highly desired, OneTrust (advanced);</li></ul><ul><li>Education: Bachelor's or Master's degree in Law, Information Technology, Business Administration, or a related field. A specialization in data protection or privacy law is a strong advantage.</li></ul><ul><li>Knowledge: Strong working knowledge of Algerian data protection law and ANPDP regulatory requirements. Solid understanding of GDPR principles and international privacy frameworks. Familiarity with privacy risk management methodologies, PIA/DPIA processes, and data governance practices.</li></ul><ul><li>Experience: Minimum 3–5 years of professional experience in data privacy, legal compliance, or a closely related field. Prior experience in the pharmaceutical, healthcare, or life sciences sector is highly desirable. Experience working in a multi-country or regional role is an asset.</li></ul><ul><li>Languages: Full professional fluency in Arabic and French (required). Professional proficiency in English is strongly preferred to enable effective collaboration with global and regional teams.</li></ul><p><i>Behavioral Competencies</i></p><br><p>Aligned with <b>Sanofi's Core Values</b>:</p><br><ul><li>Aim Higher — Continuously raises the bar on privacy compliance standards, proactively identifies emerging risks, and drives improvement across Algeria and the extended scope. Does not settle for minimum compliance but strives for privacy excellence.</li></ul><ul><li>Act for Patients — Keeps the protection of patient, employee, and stakeholder personal data at the heart of every decision. Understands that responsible data management is a direct expression of Sanofi's commitment to the people it serves.</li></ul><ul><li>Be Bold — Challenges the status quo, advocates for privacy as a strategic business enabler rather than a barrier, and is not afraid to raise difficult issues or escalate concerns when necessary. Embraces innovation while maintaining ethical guardrails.</li></ul><ul><li>Lead Together — Builds strong, trust-based relationships across functions, geographies, and cultures. Actively contributes to the Africa MCO and Global Privacy communities, shares knowledge generously, and fosters a collaborative privacy culture throughout the organization.</li></ul><p><i>Pursue progress, discover extraordinary</i></p><br><p>Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.</p><br><p>At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.</p><br><p>Watch our <span><u>ALL IN video</u></span> and check out our Diversity Equity and Inclusion actions at <span><u>sanofi.com</u></span>!</p><br>Pursue <i>progress</i>, discover <i>extraordinary</i><p>Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.</p><br><p>At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.</p><br><p>Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!</p><br> </div>

<p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Missions</font></font></p> <ul> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Ensure the creation, integration and updating of product sheets in the database.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Collect and control the information transmitted by the suppliers: references, designations, prices, EAN, categories, brands, dimensions, units, etc.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Ensure the quality, consistency and completeness of product data.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Check the information and identify any anomalies, duplicates or inconsistencies.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Perform the necessary corrections and updates in the various internal systems and tools.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Ensure the referencing of new products and the monitoring of changes related to existing references.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Ensure proper categorization and classification of products according to the defined nomenclature.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Perform regular checks of the database to identify and correct errors.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Collaborating with the Purchasing, Supply, Logistics, Sales and IT teams to ensure data reliability.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Produce and update tracking tables and reports related to SEO.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Participate in the continuous improvement of data management and quality processes.</font></font></li> </ul><p><strong>Desired Candidate Profile</strong></p><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Desired profile</font></font></p> <ul> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Bac+2/3 in management, computer science, commerce, administration or similar field.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Prior experience in database management, data administration, product referencing or back office is a plus.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Excellent command of Excel: searches, filters, pivot tables, data processing functions, etc.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">comfortable with handling large volumes of data.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Great rigor and particular attention to detail.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Analytical mind and ability to quickly detect inconsistencies.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Organization, autonomy and respect for deadlines.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Knowledge of the mass retail sector and/or product data is an advantage.</font></font></li> </ul> <p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing summaries, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</font></font></p>