Database administrator DBA Jobs

<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 While each project involves unique tasks, contributors may: Design and evaluate Quarterly Business Review scenarios — performance vs.<br> benchmark, allocation drift against IPS tolerance bands, and material fund document changes; Create rebalancing and tax-loss harvesting test cases involving cost basis, short-term vs.<br> long-term capital gains, and wash-sale rule application; Develop suitability check cases probing risk tolerance, time horizon, prohibited holdings, and concentration limits against a client's Investment Policy Statement; Construct fee-stack analysis cases: portfolio-weighted expense ratios, advisory fees, and all-in cost comparisons against category benchmarks; Document test cases clearly with verified calculations, policy citations, and correct answers.<br> What we look for This opportunity is a good fit for professionals with a background in investment management, financial advisory, or broader financial services who are open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Finance, Economics, Business Administration, Accounting, Mathematics, Statistics, or any related field; 2+ years of finance, investment, accounting, or financial services experience; Current or recent experience in advisory &amp; management or adjacent roles; Practical knowledge of portfolio performance analysis, tax-lot accounting, wash-sale rules, and Investment Policy Statement literacy; a CFA, CFP, CPWA, CIMA, or CIPM credential is a strong positive signal; Strong written English (C1+).<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> Compensation On this project, contributors can earn up to $50 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>

<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 While each project involves unique tasks, contributors may: Design and evaluate Quarterly Business Review scenarios — performance vs.<br> benchmark, allocation drift against IPS tolerance bands, and material fund document changes; Create rebalancing and tax-loss harvesting test cases involving cost basis, short-term vs.<br> long-term capital gains, and wash-sale rule application; Develop suitability check cases probing risk tolerance, time horizon, prohibited holdings, and concentration limits against a client's Investment Policy Statement; Construct fee-stack analysis cases: portfolio-weighted expense ratios, advisory fees, and all-in cost comparisons against category benchmarks; Document test cases clearly with verified calculations, policy citations, and correct answers.<br> What we look for This opportunity is a good fit for professionals with a background in investment management, financial advisory, or broader financial services who are open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Finance, Economics, Business Administration, Accounting, Mathematics, Statistics, or any related field; 2+ years of finance, investment, accounting, or financial services experience; Current or recent experience in advisory &amp; management or adjacent roles; Practical knowledge of portfolio performance analysis, tax-lot accounting, wash-sale rules, and Investment Policy Statement literacy; a CFA, CFP, CPWA, CIMA, or CIPM credential is a strong positive signal; Strong written English (C1+).<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> Compensation On this project, contributors can earn up to $50 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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><div><br> <strong>About the Role</strong> <p>Yassir is seeking a highly skilled and motivated Data Analyst, of junior / mid / senior level, to join our Data Analytics team and contribute with shaping the business s decision making and product offering on Financial Services in making it more data and insights driven. As a Data Analyst (FinTech), you will play a crucial role in analyzing data, helping us prioritize, assess, develop financial product features for our millions of users across Africa. Your expertise in both data processing, robust statistical analysis, insights derivation, hypothesis formulation and data visualization will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir s most critical problems.</p> <strong>About the Team</strong> <p>The Data Analytics team is part of Yassir s central Data &amp; AI domain, which is responsible for all data related activities in the organization - from Data Engineering, Data Platform management and Data Analytics all the way to AI solutions and MLOps infrastructure development. We are a global team of Data and AI / ML experts, encompassing diverse backgrounds and skills. We strive to provide top-quality Analytics and BI insights to the business, being a proactive partner to our stakeholders, and ultimately to build a mature Data Culture supported by widespread data fluency, responsible and democratized data access, data-driven decision making and automation. We push the envelope of what s feasible, we challenge each other, we support each other, and we take great pride in our work. Most of all we are value-driven to create impact from our data solutions. If you have an inherent curiosity about the fields Data and AI, a relevant background and an internal zeal and drive to contribute, please come join us!</p> <br> <strong>Key Responsibilities</strong> <ul> <li> <p>Analyze customer, transaction, merchant, and agent data to identify trends, opportunities, and performance drivers across Wallets, Payments, Bill Payments, Merchant Payments, P2P Transfers, and other Financial Services products.</p> </li> <li> <p>Partner with Product Managers, Operations, Risk, Finance, and Engineering teams to answer business questions through data and support product decision-making.</p> </li> <li> <p>Develop and maintain dashboards, reports, and KPI tracking frameworks to monitor customer growth, engagement, retention, transaction performance, and revenue metrics.</p> </li> <li> <p>Conduct deep-dive analyses on customer behavior, payment funnels, wallet activation, transaction success rates, merchant activity, and agent performance.</p> </li> <li> <p>Support product discovery and feature development by identifying customer pain points, behavioral patterns, and growth opportunities using data.</p> </li> <li> <p>Design, execute, and evaluate A/B tests, feature launches, promotional campaigns, and product experiments to measure impact and guide future improvements.</p> </li> <li> <p>Work closely with Data Science and Risk teams to support customer segmentation, fraud monitoring, credit risk analysis, and predictive modeling initiatives.</p> </li> <li> <p>Perform exploratory data analysis (EDA) to uncover actionable insights and support the development of data-driven product enhancements.</p> </li> <li> <p>Monitor data quality, identify anomalies, and collaborate with Data Engineering teams to improve tracking, instrumentation, and reporting accuracy.</p> </li> <li> <p>Communicate findings and recommendations clearly to both technical and non-technical stakeholders through presentations, reports, and dashboards.</p> </li> </ul> <br> <strong>Key Requirements</strong> Essential <br><ul> <li> <p>2 5 years of experience in Product Analytics, Business Analytics, Data Analytics, or a related analytical role.</p> </li> <li> <p>Strong SQL skills and practical experience working with large-scale customer and transaction datasets.</p> </li> <li> <p>Proficiency in Python for data analysis, statistical modeling, and data visualization.</p> </li> <li> <p>Experience working with digital products, preferably within Fintech, Payments, Wallets, Banking, Lending, or Financial Services.</p> </li> <li> <p>Solid understanding of statistics, hypothesis testing, experimentation, and data-driven decision-making.</p> </li> <li> <p>Experience building dashboards and reports using BI tools such as Looker Studio, Looker, Tableau, or Power BI.</p> </li> <li> <p>Ability to translate business questions into analytical approaches and communicate insights effectively to stakeholders.</p> </li> <li> <p>Familiarity with cloud-based data platforms, preferably Google Cloud Platform (GCP) and BigQuery.</p> </li> <li> <p>Strong problem-solving, analytical thinking, and attention to detail.</p> </li> <li> <p>Excellent written and verbal communication skills in English.</p> </li> </ul> Nice to have <br><ul> <li> <p>Experience working with Wallets, Bill Payments, Merchant Payments, P2P Transfers, Agent Networks, Lending, or Credit products.</p> </li> <li> <p>Familiarity with fraud analytics, risk monitoring, customer lifecycle analysis, or fintech growth metrics.</p> </li> <li> <p>Exposure to machine learning, customer segmentation, or predictive analytics use cases.</p></li></ul></div></div></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong><span>About Yassir</span></strong> <p><span>Yassir is the Super App designed to make your life easier. Yassir’s Mission is to serve Africans in the continent and its diaspora while creating economic opportunities for service providers and infusing social values. We aspire towards providing our users with the most essential services to their door by leveraging technology and a large ecosystem of partners. We at Yassir stand for: Ambition, Transparency &amp; Trust, Quality, Performance. And we are growing fast - super fast.</span></p><br> <p><span>By choosing a career at Yassir, you choose to be part of one of the most impactful, fastest-growing Tech companies in Africa.</span></p><br> <br> <p><strong><span>yassir.com</span></strong></p><br> <strong><span>About the Role</span></strong> <p><span>Yassir is seeking a highly skilled and motivated Data Analyst, of junior / mid / senior level, to join our Data Analytics team and contribute with shaping the business’s decision making and product offering on Financial Services in making it more data and insights driven. As a Data Analyst (FinTech), you will play a crucial role in analyzing data, helping us prioritize, assess, develop financial product features for our millions of users across Africa. Your expertise in both data processing, robust statistical analysis, insights derivation, hypothesis formulation and data visualization will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir’s most critical problems.</span></p><br> <strong><span>About the Team</span></strong> <p><span>The Data Analytics team is part of Yassir’s central Data &amp; AI domain, which is responsible for all data related activities in the organization - from Data Engineering, Data Platform management and Data Analytics all the way to AI solutions and MLOps infrastructure development. We are a global team of Data and AI / ML experts, encompassing diverse backgrounds and skills. We strive to provide top-quality Analytics and BI insights to the business, being a proactive partner to our stakeholders, and ultimately to build a mature Data Culture supported by widespread data fluency, responsible and democratized data access, data-driven decision making and automation. We push the envelope of what’s feasible, we challenge each other, we support each other, and we take great pride in our work. Most of all we are value-driven to create impact from our data solutions. If you have an inherent curiosity about the fields Data and AI, a relevant background and an internal zeal and drive to contribute, please come join us!</span></p><br> <br> <strong><span>Key Responsibilities</span></strong> <ul> <li> <p><span>Analyze customer, transaction, merchant, and agent data to identify trends, opportunities, and performance drivers across Wallets, Payments, Bill Payments, Merchant Payments, P2P Transfers, and other Financial Services products.</span></p><br> </li> <li> <p><span>Partner with Product Managers, Operations, Risk, Finance, and Engineering teams to answer business questions through data and support product decision-making.</span></p><br> </li> <li> <p><span>Develop and maintain dashboards, reports, and KPI tracking frameworks to monitor customer growth, engagement, retention, transaction performance, and revenue metrics.</span></p><br> </li> <li> <p><span>Conduct deep-dive analyses on customer behavior, payment funnels, wallet activation, transaction success rates, merchant activity, and agent performance.</span></p><br> </li> <li> <p><span>Support product discovery and feature development by identifying customer pain points, behavioral patterns, and growth opportunities using data.</span></p><br> </li> <li> <p><span>Design, execute, and evaluate A/B tests, feature launches, promotional campaigns, and product experiments to measure impact and guide future improvements.</span></p><br> </li> <li> <p><span>Work closely with Data Science and Risk teams to support customer segmentation, fraud monitoring, credit risk analysis, and predictive modeling initiatives.</span></p><br> </li> <li> <p><span>Perform exploratory data analysis (EDA) to uncover actionable insights and support the development of data-driven product enhancements.</span></p><br> </li> <li> <p><span>Monitor data quality, identify anomalies, and collaborate with Data Engineering teams to improve tracking, instrumentation, and reporting accuracy.</span></p><br> </li> <li> <p><span>Communicate findings and recommendations clearly to both technical and non-technical stakeholders through presentations, reports, and dashboards.</span></p><br> </li> </ul> <br> <strong><span>Key Requirements</span></strong> <span>Essential</span> <ul> <li> <p><span>2–5 years of experience in Product Analytics, Business Analytics, Data Analytics, or a related analytical role.</span></p><br> </li> <li> <p><span>Strong SQL skills and practical experience working with large-scale customer and transaction datasets.</span></p><br> </li> <li> <p><span>Proficiency in Python for data analysis, statistical modeling, and data visualization.</span></p><br> </li> <li> <p><span>Experience working with digital products, preferably within Fintech, Payments, Wallets, Banking, Lending, or Financial Services.</span></p><br> </li> <li> <p><span>Solid understanding of statistics, hypothesis testing, experimentation, and data-driven decision-making.</span></p><br> </li> <li> <p><span>Experience building dashboards and reports using BI tools such as Looker Studio, Looker, Tableau, or Power BI.</span></p><br> </li> <li> <p><span>Ability to translate business questions into analytical approaches and communicate insights effectively to stakeholders.</span></p><br> </li> <li> <p><span>Familiarity with cloud-based data platforms, preferably Google Cloud Platform (GCP) and BigQuery.</span></p><br> </li> <li> <p><span>Strong problem-solving, analytical thinking, and attention to detail.</span></p><br> </li> <li> <p><span>Excellent written and verbal communication skills in English.</span></p><br> </li> </ul> <span>Nice to have</span> <ul> <li> <p><span>Experience working with Wallets, Bill Payments, Merchant Payments, P2P Transfers, Agent Networks, Lending, or Credit products.</span></p><br> </li> <li> <p><span>Familiarity with fraud analytics, risk monitoring, customer lifecycle analysis, or fintech growth metrics.</span></p><br> </li> <li> <p><span>Exposure to machine learning, customer segmentation, or predictive analytics use cases.</span></p><br> </li> </ul> <br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Budget elaboration and monitoring</p><p>Participate in the elaboration of the annual budget.</p><p>Ensure budget monitoring by department or cost center.</p><p>Control budget execution.</p><p>Analyze deviations between forecasts and achievements.</p><p>Reporting and dashboards</p><p>Design and update management dashboards.</p><p>Produce periodic reports (weekly, monthly, quarterly).</p><p>Ensure monitoring of performance indicators (KPI).</p><p>Present results to management.</p><p>Cost and profitability analysis</p><p>Calculate the cost of products or services.</p><p>Analyze margins and profitability.</p><p>Identify sources of savings.</p><p>Propose corrective actions.</p><p>Internal control and audit</p><p>Verify the reliability of financial data.</p><p>Control the application of internal procedures.</p><p>Participate in internal audit missions.</p><p>Ensure compliance with management procedures.</p><p>Forecasting and decision support</p><p>Develop activity and treasury forecasts.</p><p>Carry out economic and financial studies.</p><p>Support operational managers in piloting their activities.</p><p>Provide analyses for decision-making.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Formation Bac +4 / Bac +5 en : Finance Comptabilit Contr le de Gestion Gestion des Entreprises Sciences conomiques Exp rience Minimum 3 5 ans dans un poste similaire. Exp rience en industrie agroalimentaire souhait e. Comp tences requises Techniques Comptabilit g n rale et analytique. Analyse financi re. Contr le budg taire. laboration de tableaux de bord. Gestion des co ts. Ma trise avanc e d'Excel. Connaissance des ERP (Odoo, SAP, Sage, Oracle, etc.). Comportementales Rigueur et organisation. Esprit d'analyse et de synth se. Discr tion et confidentialit . Capacit travailler sous pression. Sens de la communication. Force de proposition.</p><p></p></section>

<ul> <li><font dir="auto" ><font dir="auto" >Ensure the preparation and control of shipping documents.</font></font></li> <li><font dir="auto" ><font dir="auto" >Coordinate logistics flows between suppliers, carriers, warehouses and customers.</font></font></li> <li><font dir="auto" ><font dir="auto" >Manage stock receipts, entries and movements.</font></font></li> <li><font dir="auto" ><font dir="auto" >Organize the removals and liaise with the carriers.</font></font></li> <li><font dir="auto" ><font dir="auto" >Track shipping costs and produce operational dashboards.</font></font></li> <li><font dir="auto" ><font dir="auto" >Establish and monitor key performance indicators (KPIs) to optimize logistics operations.</font></font></li> <li><font dir="auto" ><font dir="auto" >Ensure the reliability of data and the smooth running of supply chain operations.</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >Degree in logistics or a related field</font></font></li> <li><font dir="auto" ><font dir="auto" >Minimum 2 years of experience in logistics</font></font></li> <li><font dir="auto" ><font dir="auto" >Good knowledge of logistics operations, transport and inventory management.</font></font></li> <li><font dir="auto" ><font dir="auto" >Proficiency in office tools (Microsoft Office, especially Excel) and ERP or inventory management software.</font></font></li> <li><font dir="auto" ><font dir="auto" >Good analytical and problem-solving skills.</font></font></li> <li><font dir="auto" ><font dir="auto" >Excellent organizational skills and ability to manage priorities.</font></font></li> <li><font dir="auto" ><font dir="auto" >Able to work in a shift system</font></font></li> </ul> <p><br></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Yassir is seeking a highly skilled and motivated Data Analyst, of junior / mid / senior level, to join our Data Analytics team and contribute with shaping the business s decision making and product offering on Financial Services in making it more data and insights driven. As a Data Analyst (FinTech), you will play a crucial role in analyzing data, helping us prioritize, assess, develop financial product features for our millions of users across Africa. Your expertise in both data processing, robust statistical analysis, insights derivation, hypothesis formulation and data visualization will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir s most critical problems.</p><p>The Data Analytics team is part of Yassir s central Data &amp; AI domain, which is responsible for all data related activities in the organization - from Data Engineering, Data Platform management and Data Analytics all the way to AI solutions and MLOps infrastructure development. We are a global team of Data and AI / ML experts, encompassing diverse backgrounds and skills. We strive to provide top-quality Analytics and BI insights to the business, being a proactive partner to our stakeholders, and ultimately to build a mature Data Culture supported by widespread data fluency, responsible and democratized data access, data-driven decision making and automation. We push the envelope of what s feasible, we challenge each other, we support each other, and we take great pride in our work. Most of all we are value-driven to create impact from our data solutions. If you have an inherent curiosity about the fields Data and AI, a relevant background and an internal zeal and drive to contribute, please come join us!</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>2-5 years of experience in Product Analytics, Business Analytics, Data Analytics, or a related analytical role.</li><li>Strong SQL skills and practical experience working with large-scale customer and transaction datasets.</li><li>Proficiency in Python for data analysis, statistical modeling, and data visualization.</li><li>Experience working with digital products, preferably within Fintech, Payments, Wallets, Banking, Lending, or Financial Services.</li><li>Solid understanding of statistics, hypothesis testing, experimentation, and data-driven decision-making.</li><li>Experience building dashboards and reports using BI tools such as Looker Studio, Looker, Tableau, or Power BI.</li><li>Ability to translate business questions into analytical approaches and communicate insights effectively to stakeholders.</li><li>Familiarity with cloud-based data platforms, preferably Google Cloud Platform (GCP) and BigQuery.</li><li>Strong problem-solving, analytical thinking, and attention to detail.</li><li>Excellent written and verbal communication skills in English.</li></ul><p><strong>Nice to have</strong></p><ul><li>Experience working with Wallets, Bill Payments, Merchant Payments, P2P Transfers, Agent Networks, Lending, or Credit products.</li><li>Familiarity with fraud analytics, risk monitoring, customer lifecycle analysis, or fintech growth metrics.</li><li>Exposure to machine learning, customer segmentation, or predictive analytics use cases.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable 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 AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> 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 various tools such as our provided Apify and OpenRouter alongside your own resourceful 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 internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<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> Requirements: 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> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, 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> 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) 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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Responsibilities</p><ul><li>Collaborate with marketing teams to analyze marketing performance metrics, including attribution, audience targeting effectiveness, campaign ROI, and user engagement metrics.</li><li>Utilize data analysis skills, along with a deep understanding of marketing principles, to identify opportunities for improving marketing strategies and tactics.</li><li>Work cross-functionally with Product, Engineering, Research, and other teams to integrate marketing data into overall business strategy and product development processes.</li><li>Serve as a data ambassador, promoting a data-driven marketing culture within the organization.</li><li>Influence marketing strategy and execution by providing data-driven insights and recommendations to key stakeholders.</li><li>Partner with Engineering to ensure the collection of relevant data for informed decision-making and optimization of marketing efforts.</li><li>Develop and implement hypotheses for optimizing marketing performance, employing rigorous analytical approaches and methodologies.</li><li>Communicate insights and recommendations effectively through data-driven storytelling, influencing stakeholders to make data-informed decisions.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.</li><li>A minimum experience of 5 years in analytics in an app marketing environment, including a track record of leveraging attribution tools and analytics to define marketing strategies and of defining tracking plans for marketing campaigns.</li><li>Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)</li><li>Language skills : French and English (fluent) , Arabic is an advantage</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable 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 AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> 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 various tools such as our provided Apify and OpenRouter alongside your own resourceful 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 internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<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> Requirements: 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> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, 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> 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) 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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable 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 AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> 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 various tools such as our provided Apify and OpenRouter alongside your own resourceful 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 internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<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> Requirements: 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> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, 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> 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) 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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul> <li><font dir="auto" ><font dir="auto" >To define and implement the company's financial policy.</font></font></li> <li><font dir="auto" ><font dir="auto" >Supervise the accounting, treasury and financial control departments.</font></font></li> <li><font dir="auto" ><font dir="auto" >To ensure the reliability of financial statements and accounting records.</font></font></li> <li><font dir="auto" ><font dir="auto" >prepare budgets, monitor their execution and analyze variances.</font></font></li> <li><font dir="auto" ><font dir="auto" >To manage cash flow, financing and investments.</font></font></li> <li><font dir="auto" ><font dir="auto" >Ensure compliance with tax, accounting and regulatory obligations.</font></font></li> <li><font dir="auto" ><font dir="auto" >Produce financial dashboards and reports for the General Management.</font></font></li> <li><font dir="auto" ><font dir="auto" >Supervise internal and external audits and maintain relations with auditors, banks and government agencies.</font></font></li> <li><font dir="auto" ><font dir="auto" >Implement internal control procedures and ensure the management of financial risks.</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >Advanced degree in finance, accounting, management or equivalent field.</font></font></li> <li><font dir="auto" ><font dir="auto" >Proven experience in financial management and team leadership.</font></font></li> <li><font dir="auto" ><font dir="auto" >Excellent mastery of accounting standards, taxation, budget management and financial control.</font></font></li> <li><font dir="auto" ><font dir="auto" >Proficiency in accounting software, ERP systems and financial analysis tools.</font></font></li> </ul> <p> <b><font dir="auto" ><font dir="auto" >If you match this profile, please send your CV by clicking</font></font><br></b> </p> <p> <b><font dir="auto" ><font dir="auto" >on the apply tab</font></font></b> </p> Alger</div></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The first level of technical intervention (first responder) responsible for the maintenance, troubleshooting, and optimization of the WMS application. Automate daily activity reports and KPI reporting using reporting tools such as Power BI. Provide necessary support for users of the WMS application. Participate in the implementation of internal integration solutions as well as integration solutions for clients and users. Identify and resolve recurring problems, and propose improvements to IT support work methods to increase efficiency and performance.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Possessing a diploma in logistics or equivalent</li><li>Having previously used WMS</li><li>Proficient in Power BI and Excel</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><font dir="auto" ><font dir="auto" >Verify the compliance of accounting transactions recorded at headquarters. Analyze and justify balance sheet and income statement accounts. Ensure the monitoring and clearing of suspense, accrual, and other accounting entries. Prepare inventory and adjusting entries. Participate in the monthly, quarterly, semi-annual, and annual closing of accounts. Verify the consistency of trial balances, general ledgers, and financial statements. Ensure the accounting follow-up of fixed assets, depreciation, provisions, and inventory. Participate in the preparation of financial statements and supporting documents. Ensure the centralization and verification of accounting information transmitted by the units. Prepare files for statutory auditors, external auditors, and regulatory bodies. Participate in the improvement of accounting procedures and the internal control system. Assist the Head of Accounting with closing and reporting tasks. PERIODIC AND SUPPLEMENTARY DUTIES: Ensure follow-up on the implementation of audit recommendations and corrective actions. Participate in working meetings and committees relevant to their area of ​​activity. Participate in physical inventories. Perform any task within their area of ​​expertise assigned by management. RESPONSIBILITIES: Reliability of analyses and accounting controls performed. Justification of account balances. Accuracy of proposed adjusting entries. Compliance with accounting standards and internal procedures. Compliance with deadlines for closing and transmitting financial information. Participate in internal audits and unit control missions.</font></font></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><font dir="auto" ><font dir="auto" >Education: Bachelor's/Master's degree in Finance, Accounting, Management or Business Studies.</font></font></li><li><font dir="auto" ><font dir="auto" >Experience: Minimum six (06) years of experience in the fields of accounting, taxation, auditing or accounting control...</font></font></li><li><font dir="auto" ><font dir="auto" >Languages: Arabic: Master's level; French: Master's level; English: Desirable.</font></font></li><li><font dir="auto" ><font dir="auto" >REQUIRED SKILLS: Proficiency in the Financial Accounting System (FAS). Sound knowledge of taxation and accounting regulations. Proficiency in closing and accounting analysis techniques. Proficiency in accounting software and office tools. Analytical, synthesis, and report-writing skills. Rigor, discretion, and initiative.</font></font></li><li><font dir="auto" ><font dir="auto" >PROFESSIONAL OBLIGATIONS: Respect for professional secrecy. Compliance with internal procedures and applicable regulations. Confidentiality of financial and accounting information. Reporting of any anomalies or irregularities observed.</font></font></li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>JOB SUMMARY Functions as the strategic financial business leader for a cluster of properties within a market. Responsible for achieving financial goals at each participating property. The position champions, develops and implements property-wide strategies that deliver products and services to meet or exceed the needs and expectations of the brand s target customer and property employees. The position provides the financial expertise to enable the successful implementation of the brand service strategy and brand initiatives while maximizing the return on. In addition, creates and executes a business plan that is aligned with the brand s business strategy and focuses on the execution of financial and accounting activities and the delivery of desirable financial results.</p><p>CORE WORK ACTIVITIES</p><p>Engaging in Strategic Planning and Decision Making</p><ul><li>Develops means to improve profit, including estimating cost and benefit and exploring new business opportunities.</li><li>Analyzes information, forecasts sales against expenses and creates annual budget plans.</li><li>Compiles information, analyzes and monitors actual sales against projected sales.</li><li>Analyzes differences between actual budget wages and forecasted wages for more efficient budget planning.</li><li>Identifies the underlying principles, reasons, or facts of information by breaking down information or data into separate parts.</li><li>Thinks creatively and practically to develop, execute and implement new business plans.</li><li>Creates the annual operating budget for the properties.</li><li>Provides analytical support during budget reviews to identify cost saving and productivity opportunities for property managers.</li><li>Leads the development and implementation of a comprehensive annual business plan which is aligned with the company s and brand s strategic direction.</li><li>Produces accurate forecasts that enable operations to react to changes in the business.</li><li>Collaborates with Operations and Revenue Managers to develop effective revenue management strategies.</li></ul><p>Leading Finance &amp; Accounting Teams for Cluster</p><ul><li>Utilizes interpersonal and communication skills to lead, influence, and encourage others; advocates sound financial/business decision making; demonstrates honesty/integrity; leads by example.</li><li>Communicates the strategic goals, the focus and the owner priorities to subordinates in a clear and precise manner.</li><li>Oversees internal, external and regulatory audit processes.</li><li>Provides on going analytical support by monitoring the operating department s actual and projected sales.</li><li>Uses financial expertise and analytical models to evaluate mix of transient and group revenue.</li></ul><p>Anticipating and Delivering on the Needs of Key Stakeholders</p><ul><li>Demonstrates a commitment to meeting the needs of all key stakeholders.</li><li>Understands and meeting the needs of key stakeholders (owners, corporate, guests, etc.).</li><li>Advises the GM and executive committee on existing and evolving operating/financial issues.</li><li>Demonstrates an understanding of cash flow and owner priorities.</li><li>Manages property working capital and cash flow in accordance with brand SOPs and owner requirements.</li><li>Understands the owners' perspective and ROI expectations.</li><li>Attends meetings and communicating with the owners, understanding the priorities and strategic focus.</li></ul><p>Developing and Maintaining Finance and Accounting Goals</p><ul><li>Ensures Profits and Losses are documented accurately.</li><li>Monitors all taxes that apply, ensuring that taxes are current, collected and/or accrued.</li><li>Submits reports in a timely manner, ensuring delivery deadlines.</li><li>Improves profit growth in operating departments.</li><li>Coaches management team to ensure revenue goals are met and opportunities are identified and addressed.</li><li>Achieves and exceeds goals including performance goals, budget goals, team goals, etc.</li><li>Sets aggressive goals that will drive the cluster's financial performance.</li><li>Provides pricing and inventory recommendations that increase market share and attain revenue growth and profit goals.</li></ul><p>Managing Projects and Policies</p><ul><li>Champions the use of technology to create operational efficiency.</li><li>Reconciles balance sheet to ensure account balances are supported by appropriate documentation in accordance with SOPs.</li><li>Identifies key projects and manages associated Capital Expenditure funds for implementation of brand initiatives, product improvement and increased revenue potential.</li></ul><p>Managing and Conducting Human Resource Activities</p><ul><li>Ensures employees are treated fairly and equitably.</li><li>Holds staff accountable for successful performance.</li></ul><p>Additional Responsibilities</p><ul><li>Shares alternative viewpoints and encourages others to do so as well.</li><li>Generates and provides accurate and timely results in the form of reports, presentations, etc.</li><li>Negotiates effectively while maintaining positive relationships with others.</li><li>Participates in sales strategy and revenue management meetings.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>4-year bachelor's degree in Finance and Accounting or related major; 2 years experience in the finance and accounting or related professional area. OR Master's degree in Finance and Accounting or related major; no work experience required.</li></ul><p></p></section>

<p><font dir="auto" ><font dir="auto" >Implement and monitor the QHSE policy. Raise staff awareness of best practices. Conduct audits and propose improvement actions. Ensure compliance with regulatory requirements.</font></font></p><p><strong>Desired Candidate Profile</strong></p><p><font dir="auto" ><font dir="auto" >Degree in QHSE or equivalent field. Experience in a similar role preferred. Leadership, rigor, and analytical skills.</font></font></p>

<p><font dir="auto" ><font dir="auto" >Develop and monitor marketing activities. Manage digital communication and social media. Create marketing materials (catalogues, brochures, content). Organize promotional campaigns and events. Analyze the market and monitor the competition.</font></font></p><p><strong>Desired Candidate Profile</strong></p><p>Formation en marketing/communication ou commerce. Maîtrise des outils digitaux et bureautiques. Créativité, organisation et bon relationnel. Connaissance du secteur chauffage/plomberie est un plus.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><font dir="auto" ><font dir="auto" >Manage HR activities (recruitment, training, personnel administration). Ensure compliance with labor laws. Support managers in human resources management. Develop and implement HR policy.</font></font></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Candidate Profile</h2> <p><font dir="auto" ><font dir="auto" >Master's degree (Bac+5) in Human Resources, Law, or Management. Minimum 10 years' experience in a similar role. Leadership, rigor, organizational skills, and excellent communication.</font></font></p><p></p></section>

<p>Manage social networks and create digital content. Manage online advertising campaigns. Monitor digital performance (traffic, engagement, results). Update the website and digital materials. Develop brand awareness on the internet.</p><p><strong>Desired Candidate Profile</strong></p><p>Training in digital marketing, communication or commerce. Mastery of social networks and digital tools. Knowledge of online advertising (Google Ads, Meta Ads). Creativity, autonomy and analytical skills.</p>