Data Analyst Jobs in Algeria
254 Jobs Found
<h2 class="h5">Job description</h2>
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<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & 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 & 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>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Analyze data and financial statements. Develop and track budgets. Perform financial forecasts. Evaluate the profitability of projects and investments. Identify and manage financial risks. Prepare reports and dashboards for management. Ensure compliance with financial and tax regulations. Formulate recommendations to optimize financial performance.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Analytical and synthesis skills. Rigor and organizational skills. Mastery of IT tools, especially Excel and financial management software. Good communication skills. Ability to make data-driven decisions. Sense of confidentiality and professional ethics.</p><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & 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 & 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>
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<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">
<p><span>IQVIA is looking for a driven and analytically rigorous <b>Business Analyst</b> to join our Commercial Effectiveness Services (CES) team, based in Algiers You will play a central role in the design and delivery of data-driven commercial solutions for pharmaceutical and life sciences clients across North, East, and West Africa.</span></p><br><p><span><b>What You'll Work On</b></span></p><br><ul><li><span>Customer targeting and segmentation (HCP and pharmacy)</span></li><li><span>Sales force structuring, sizing, and territory alignment</span></li><li><span>Incentive and target-setting modeling</span></li><li><span>Performance dashboarding and KPI tracking</span></li><li><span>Market and competitive analysis to support client decision-making</span></li></ul><p><span><b>Main Responsibilities</b></span></p><br><ul><li><span>Collect, clean, and structure large datasets from multiple sources to build analysis-ready models</span></li><li><span>Conduct end-to-end quantitative analysis — from raw data processing through to synthesis, interpretation, and business recommendations</span></li><li><span>Build and maintain Excel models, Power BI dashboards, and structured PowerPoint deliverables for client presentations</span></li><li><span>Contribute to the delivery of multiple simultaneous client engagements across the Africa region</span></li><li><span>Support project proposals and client interactions under senior supervision</span></li></ul><p><span><b>Required Profile</b></span></p><br><ul><li><span>Strong analytical and critical thinking skills — comfortable with ambiguity and able to translate data into actionable insights</span></li><li><span>Solid command of Excel (advanced formulas, pivot tables, modeling) and PowerPoint</span></li><li><span>Master's degree in Economics, Statistics, Mathematics, Computer Science, or equivalent</span></li><li><span>Proficiency in English (French and/or Arabic are strong assets for the Africa region)</span></li><li><span>0–3 years of experience in consulting, analytics, or a pharmaceutical/healthcare environment</span></li></ul><p><span><b>Nice to Have</b></span></p><br><ul><li><span>Experience with Power BI or equivalent BI tools</span></li><li><span>SQL skills</span></li><li><span>Exposure to pharmaceutical commercial data (IMS/IQVIA syndicated data, CRM outputs)</span></li></ul><p>IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com</p><br><p>IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.</p><br> </div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & 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">
<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 & 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 & 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>
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<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><ul> <li><font dir="auto" ><font dir="auto" ><font dir="auto" ><font dir="auto" >Microbiologist Analyst</font></font></font></font></li><li><font dir="auto" ><font dir="auto" ><br></font></font></li><li><font dir="auto" ><font dir="auto" >to study, analyze, classify and identify the structure and functions of microorganisms (viruses, fungi, bacteria, algae, etc.) as well as their relationships with the environment, their reproduction, their actions, in order to optimize their use in the manufacture of pharmaceutical products.</font></font></li> <li><font dir="auto" ><font dir="auto" >Perform technical tests and microbiological analyses to identify and count microorganisms (bacteria, viruses, fungi, parasites, etc.) present in various environments.</font></font></li> <li><font dir="auto" ><font dir="auto" >to study the action of microorganisms and to develop ways to counteract their harmful effects or exploit their beneficial effects.</font></font></li> <li><font dir="auto" ><font dir="auto" >Complete the documents relating to the batch files.</font></font></li> <li><font dir="auto" ><font dir="auto" >Perform the various laboratory analysis procedures.</font></font></li> <li><font dir="auto" ><font dir="auto" >Perform bacteriological checks and evaluate the performance of packaging items (tubes, P sorting boxes, bottles, leaflets, cases, etc.).</font></font></li> <li><font dir="auto" ><font dir="auto" >assess the chemical and biological risks of the products used; possess good visual acuity and be able to distinguish colors.</font></font></li> <li><font dir="auto" ><font dir="auto" >Carry out microbiological sampling and analysis (environmental controls, membrane filtration, microbial counts) on raw materials, semi-finished products and finished products, in accordance with procedures, in compliance with GLP and GMP.</font></font></li> <li><font dir="auto" ><font dir="auto" >Prepare the analysis files within the given deadlines.</font></font></li> <li><font dir="auto" ><font dir="auto" >Supply your workstation and ensure that the equipment is functioning properly.</font></font></li> <li><font dir="auto" ><font dir="auto" >Alert management in case of anomalies and contribute to the resulting investigations.</font></font></li> <li><font dir="auto" ><font dir="auto" >Ensure traceability of all operations carried out.</font></font></li> <li><font dir="auto" ><font dir="auto" >Participate in updating procedures related to methods or equipment.</font></font></li> <li><font dir="auto" ><font dir="auto" >Participate in the qualification of equipment and carry out periodic checks.</font></font></li> <li><font dir="auto" ><font dir="auto" >Verify the analysis results related to its activity and update trend monitoring.</font></font></li> <li><font dir="auto" ><font dir="auto" >Participate in the drafting of protocols, procedures, instruction sheets, operating procedures, raw data and safety data sheets.</font></font></li> <li><font dir="auto" ><font dir="auto" >Verify the raw data from routine microbiological analyses.</font></font></li> </ul> <ul> <li> <b><font dir="auto" ><font dir="auto" >Basic education</font></font></b><font dir="auto" ><font dir="auto" > : Bachelor's or Master's degree in chemistry, biology or process engineering or equivalent.</font></font><br></li> <li> <b><font dir="auto" ><font dir="auto" >Professional training</font></font></b><font dir="auto" ><font dir="auto" > : GMP and GLP standards and basic concepts in metrology.</font></font><br></li> <li><font dir="auto" ><font dir="auto" >3-4 years of experience.</font></font></li></ul></div></section>
<h2 class="h5">Job description</h2>
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<b>Abbott</b> is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries.<br>At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You will have access to:<br>• Career development with an international company where you can grow the career you dream of.<br>• A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune.<br>• A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists.<br>In Abbott’s Established Pharmaceuticals Division (EPD)We are committed to bringing trusted, high-quality medicines to underserved markets, improving access and outcomes for millions of patients across the globe.<br>The OpportunityThe <b>Sales Force Effectiveness (SFE) Analyst – French Speaking Africa Cluster</b>, based in <b>Algeria</b>, plays a critical role in enhancing sales force performance and profitability across the cluster. This role focuses on driving SFE strategy, supporting affiliates, and enabling data-driven decision-making to optimize commercial execution.<br>What You’ll Work On<ul><li>Define and drive the SFE strategic approach across key enablers including sales force design, segmentation & targeting, KPIs, and commercial support tools.</li><li>Lead cluster ICP planning and execution, including quota setting, sales calculations, and performance tracking throughout the year.</li><li>Support implementation and execution of Go-To-Market (GTM) strategies across affiliates, ensuring strong follow-up and accountability.</li><li>Partner with affiliates to challenge, guide, and enhance sales force effectiveness and performance outcomes.</li><li>Provide hands-on support during the rollout of regional and local SFE initiatives.</li><li>Foster strong collaboration and knowledge sharing across affiliates and cross-functional teams to drive best practices.</li><li>Deliver ad hoc analytics and insights to support evolving business needs and strategic decision-making.</li></ul><br><b>Qualifications</b><ul><li>Bachelor’s degree in <b>Statistics, Finance, Marketing Analytics, Business Administration</b>, or a related field (Healthcare/Life Sciences is a plus).</li><li>3–5 years’ experience within a local affiliate in an SFE or related role, including exposure to <b>Sales, KAM, Sales Leadership, Commercial Excellence, or Training functions</b>.</li><li>Strong <b>project management skills</b> with a track record of successful delivery.</li><li><b>Fluency in French and English</b> (written and spoken) with the ability to engage diverse stakeholders across cultures.</li></ul><br><p><b><span>Apply Now</span></b></p><br><br><p><span><span>Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.</span></span></p><br><br><p><span><span>Connect with us at www.abbott.com, on Facebook at <span>www.facebook.com/Abbott</span> and on Twitter @AbbottNews and @AbbottGlobal.</span></span></p><br><br><br><br><br><br> </div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><ul> <li><font dir="auto" ><font dir="auto" ><font dir="auto" ><font dir="auto" >Human Resources Analyst</font></font></font></font></li><li><font dir="auto" ><font dir="auto" ><br></font></font></li><li><font dir="auto" ><font dir="auto" >Ensure the maintenance and updating of personnel administrative files and regulatory registers (leave, absences, etc.)</font></font></li> <li><font dir="auto" ><font dir="auto" >Maintaining relationships with social and administrative bodies (Labor Inspectorate, CNAS, group insurance, etc.)</font></font></li> <li><font dir="auto" ><font dir="auto" >Manage the recruitment process, from defining the need to integrating the candidate</font></font></li> <li><font dir="auto" ><font dir="auto" >Ensure the implementation of decisions relating to staff movements (recruitment, transfer, promotion, departure, etc.)</font></font></li> <li><font dir="auto" ><font dir="auto" >Prepare the variable payroll elements (absences, lateness, leave, overtime, etc.)</font></font></li> <li><font dir="auto" ><font dir="auto" >Ensure the monitoring, control and validation of payroll processing operations as well as post-payroll operations.</font></font></li> <li><font dir="auto" ><font dir="auto" >Participate in the development of HR dashboards and statistics</font></font></li> <li><font dir="auto" ><font dir="auto" >Ensure compliance with internal regulations and applicable social legislation</font></font></li> <li><font dir="auto" ><font dir="auto" >Monitor the implementation of the training plan</font></font></li> <li><font dir="auto" ><font dir="auto" >Establish the training program and submit it for approval by management (in accordance with the training budget approved by the Institution's Board of Directors)</font></font></li> <li><font dir="auto" ><font dir="auto" >To analyze human resource and training needs, establish and consolidate the annual budget forecast for recruitment and training.</font></font></li> <li><font dir="auto" ><font dir="auto" >To perform any other task assigned by management within the scope of their duties</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >hold a university degree in legal sciences, commercial sciences, management sciences, management or equivalent</font></font></li> <li><font dir="auto" ><font dir="auto" >Candidates must have at least three (3) years of professional experience in a similar position.</font></font></li> <li><font dir="auto" ><font dir="auto" >Mastering labor legislation and human resources management procedures</font></font></li> <li><font dir="auto" ><font dir="auto" >Mastering human resources management software and tools (payroll, personnel management, CNAS declarations, etc.)</font></font></li> <li><font dir="auto" ><font dir="auto" >Mastering office software tools, particularly Microsoft Office (Word, Excel and Outlook)</font></font></li> <li><font dir="auto" ><font dir="auto" >Demonstrate good organizational skills, methodical approach, rigor, and confidentiality.</font></font></li> <li><font dir="auto" ><font dir="auto" >Possessing good action and communication skills</font></font></li> <li><font dir="auto" ><font dir="auto" >to be free of any commitment</font></font></li> <li><font dir="auto" ><font dir="auto" >R resider in the wilaya of Algiers or its surroundings</font></font></li> </ul> <p> <b> <u><font dir="auto" ><font dir="auto" >Benefits</font></font></u> </b> </p> <ul> <li><font dir="auto" ><font dir="auto" >Remuneration according to the company's collective agreement</font></font></li> <li><font dir="auto" ><font dir="auto" >Opportunities for career advancement</font></font></li> <li><font dir="auto" ><font dir="auto" >Stable and favorable working environment</font></font></li> <li><font dir="auto" ><font dir="auto" >Integration within a dynamic team</font></font></li></ul></div></section>
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<b>Use Your Power for Purpose</b><p>At Upjohn Saïdal Pharma, our purpose is to deliver high‑quality medicines to patients who depend on us every day. As a <b>QC Microbiologist Analyst</b>, you will play a critical role in safeguarding patient safety by ensuring that microbiological testing activities supporting manufacturing operations are performed in full compliance with GMP, regulatory expectations, and Pfizer Quality Systems. Your work directly contributes to product quality, compliance, and uninterrupted supply for the Algerian market.</p><br><br><b>What You Will Achieve</b><p>You will ensure the accurate and compliant execution of microbiological testing within the Quality Control laboratory, supporting the release of raw materials, intermediate products, finished products, and utilities. Through rigorous execution of methods, proper documentation, and adherence to data integrity principles, you will help maintain a robust microbiological control program aligned with manufacturing needs and regulatory expectations.</p><br><br><b>In This Role, You Will</b><ul><li><p>Perform microbiological testing of <b>raw materials, intermediates, finished products, and packaging materials</b> in accordance with approved test methods, specifications, and GMP requirements. </p><br><br></li><li><p>Conduct <b>microbiological sampling</b> of purified water, potable water, surfaces, air, and environments, including activities related to environmental monitoring and cleaning validation. </p><br><br></li><li><p>Prepare, manage, and monitor <b>microbiological culture media</b>, reagents, and reference microorganisms, ensuring proper preparation, qualification, storage, and traceability. </p><br><br></li><li><p>Accurately document all laboratory activities in compliance with <b>Good Documentation Practices (GDP)</b> and <b>Data Integrity (DI)</b> requirements, using approved logbooks and analytical records. </p><br><br></li><li><p>Participate in <b>validation activities</b>, including validation batch testing, analytical method transfers, and method verifications as required to support manufacturing and regulatory submissions. </p><br><br></li><li><p>Support investigations related to microbiological deviations, including OOS/OOT and environmental monitoring alerts, by providing timely data, technical input, and factual documentation. </p><br><br></li><li><p>Monitor laboratory environmental conditions and promptly escalate any abnormal results or potential compliance issues to supervision.</p><br><br></li><li><p>Comply with <b>EHS regulations</b> and laboratory safety procedures applicable to microbiology laboratories within a GMP manufacturing environment.</p><br><br></li><li><p>Complete assigned <b>training curricula</b> and maintain qualification status in line with role requirements and site training systems. </p><br><br></li></ul><b>Here Is What You Need (Minimum Requirements)</b><ul><li><p><b>Education:</b> Bachelor’s degree in <b>Microbiology, Biology</b>.</p><br><br></li><li><p><b>Experience:</b>Experience in a <b>QC Microbiology laboratory</b> within a pharmaceutical manufacturing environment is preferred (minimum 4 years of experience).Familiarity with <b>GMP/GLP principles</b>, microbiological techniques, and regulated laboratory operations.</p><br><br></li><li><p><b>Technical Skills:</b>Knowledge of microbiological testing methods (e.g. enumeration, specified microorganisms, environmental monitoring).Ability to follow approved procedures and test methods with a high level of accuracy and discipline. </p><br><br></li><li><p><b>Core Competencies:</b>Attention to detail and data accuracyAnalytical mindsetAbility to work effectively in a team‑based laboratory environmentGood basic computer skills (documentation, data recording) </p><br><br></li></ul><b>Bonus Points If You Have (Preferred Requirements)</b><ul><li><p>Prior experience in a <b>pharmaceutical manufacturing site</b> supporting routine product release activities.</p><br><br></li><li><p>Hands‑on involvement in <b>environmental monitoring programs</b>, water testing, or cleaning validation activities.</p><br><br></li><li><p>Experience supporting or participating in <b>laboratory investigations</b> (OOS, OOT, deviations).</p><br><br></li><li><p>Familiarity with Pfizer Quality Systems or similar global quality systems.</p><br><br></li><li><p>Strong awareness of <b>Data Integrity principles</b> and audit readiness expectations.</p><br><br></li><li><p>Effective communication skills and ability to escalate issues clearly and appropriately.</p><br><br></li></ul><br><p> <br>Work Location Assignment: On Premise</p><br><br><p><span>#LI-PFE</span></p><br><br><br><p><span><span><span><span><span><span><span><span><span>Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.</span></span></span></span></span></span></span></span></span></p><br><br><br><br><p>To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on <span><u>Pfizer Careers</u></span>.</p><br><br>&#xa;Quality Assurance and Control<br><br><br> </div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>JOB DESCRIPTION: Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries. At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You will have access to: Career development with an international company where you can grow the career you dream of. A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune. A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists. In Abbott s Established Pharmaceuticals Division (EPD) We are committed to bringing trusted, high-quality medicines to underserved markets, improving access and outcomes for millions of patients across the globe. The Opportunity The Sales Force Effectiveness (SFE) Analyst French Speaking Africa Cluster , based in Algeria , plays a critical role in enhancing sales force performance and profitability across the cluster. This role focuses on driving SFE strategy, supporting affiliates, and enabling data-driven decision-making to optimize commercial execution. What You ll Work On Define and drive the SFE strategic approach across key enablers including sales force design, segmentation & targeting, KPIs, and commercial support tools. Lead cluster ICP planning and execution, including quota setting, sales calculations, and performance tracking throughout the year. Support implementation and execution of Go-To-Market (GTM) strategies across affiliates, ensuring strong follow-up and accountability. Partner with affiliates to challenge, guide, and enhance sales force effectiveness and performance outcomes. Provide hands-on support during the rollout of regional and local SFE initiatives. Foster strong collaboration and knowledge sharing across affiliates and cross-functional teams to drive best practices. Deliver ad hoc analytics and insights to support evolving business needs and strategic decision-making.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Statistics, Finance, Marketing Analytics, Business Administration , or a related field (Healthcare/Life Sciences is a plus).</li><li>3 5 years experience within a local affiliate in an SFE or related role, including exposure to Sales, KAM, Sales Leadership, Commercial Excellence, or Training functions .</li><li>Strong project management skills with a track record of successful delivery.</li><li>Fluency in French and English (written and spoken) with the ability to engage diverse stakeholders across cultures.</li></ul><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><ul><li><p>Previous experience in data entry, administration, or similar roles is an advantage.</p></li><li><p>We are seeking a detail-oriented and reliable Data Entry Clerk to join our operations team. This role is ideal for individuals who are accurate, organized, and comfortable working with structured digital tasks in a remote environment.</p></li></ul><p>You will be responsible for maintaining high-quality data records, ensuring accuracy, and supporting smooth day-to-day operations through efficient data handling.</p><p>Responsibilities</p><ul><li><p>Enter, update, and maintain data across company systems and databases accurately.</p></li><li><p>Review information for errors, inconsistencies, or missing details and correct them when required.</p></li><li><p>Organize and prepare data for reporting and operational use.</p></li><li><p>Ensure confidentiality and proper handling of sensitive information.</p></li><li><p>Complete assigned daily and weekly tasks within deadlines while maintaining accuracy.</p></li><li><p>Support basic document formatting and data organization using Microsoft Word and similar tools.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>The position details will be shared via Telegram. Interested parties are requested to contact us on Telegram using the link provided below: Details...https://t.me/Amandafoster13</p><p></p></section>
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<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>
<p><font dir="auto" ><font dir="auto" >Enter and verify data. Update databases and platforms. Classify digital documents. Respect the confidentiality of information.</font></font></p><p><strong>Desired Candidate Profile</strong></p><p><font dir="auto" ><font dir="auto" >Excellent command of computer tools and digital platforms. Good typing speed and attention to detail. Strong organizational skills and discretion.</font></font></p>
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<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>
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<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 & Responsibilities</p><div class="paragraph"><p><font dir="auto" ><font dir="auto" >Design and manage Key Performance Indicators (KPIs) for the sales force: Define, monitor and analyze relevant KPIs to evaluate and optimize the effectiveness of sales actions.</font></font></p> <ul> <li><font dir="auto" ><font dir="auto" >Ensure sales monitoring and analysis: Collect, analyze and interpret sales data to identify market trends, growth opportunities and areas for improvement in sales performance.</font></font></li> <li><font dir="auto" ><font dir="auto" >Prepare activity reports for management: Prepare precise and comprehensive analysis reports, accompanied by strategic recommendations aimed at improving overall sales performance.</font></font></li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul> <li><font dir="auto" ><font dir="auto" >Education: Holds a Master 2 degree in Business, or an equivalent qualification.</font></font></li> <li><font dir="auto" ><font dir="auto" >Technical Skills: Advanced mastery of office tools, particularly Excel, as well as data analysis software and CRM tools.</font></font></li> <li><font dir="auto" ><font dir="auto" >Professional Experience: Significant experience of at least three (3) years in a similar position, ideally acquired in the pharmaceutical industry sector.</font></font></li> <li><font dir="auto" ><font dir="auto" >Geographical location: Resident of Zeralda or in the immediate vicinity</font></font></li> </ul> <p><b><font dir="auto" ><font dir="auto" >Required Skills and Qualities_x000D_</font></font></b></p> <ul> <li><font dir="auto" ><font dir="auto" >Strong analytical skills and a capacity for synthesis, enabling the interpretation of complex data and the formulation of relevant recommendations.</font></font></li> <li><font dir="auto" ><font dir="auto" >Sense of organization, rigor and method in monitoring sales performance.</font></font></li> <li><font dir="auto" ><font dir="auto" >Excellent written and oral communication skills, essential for writing clear reports and presenting data.</font></font></li> <li><font dir="auto" ><font dir="auto" >Ability to work in a team and collaborate effectively with the different departments of the company.</font></font></li> </ul> <p><b><font dir="auto" ><font dir="auto" >u>Working Conditions_x000D_</font></font></b></p> <ul> <li><font dir="auto" ><font dir="auto" >Zeralda low post.</font></font></li> <li><font dir="auto" ><font dir="auto" >Contract type: Fixed-term contract (CDD) or Permanent contract (CDI) depending on profile and experience.</font></font></li> <li><font dir="auto" ><font dir="auto" >Remuneration: Attractive salary package, determined according to the qualifications and experience of the candidate.</font></font></li> </ul><p></p></section>
<h2 class="h5">Job description</h2>
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<p><b><span>About Abbott</span></b></p><br><br><p>Abbott is a global healthcare company committed to helping people live not just longer, but better. We employ around over 100,000 people in 150+ countries with a diverse portfolio spanning pharmaceuticals, nutrition, diagnostics and devices.</p><br><br><p>At Abbott, you have the opportunity to make a positive impact on the world through challenging and rewarding work as part of a highly successful and trusted organization that is shaping the future of health. Realize your potential!</p><br><br><br><p>We are currently seeking a Financial Analyst, based either Algeria , Tunisa or Morrocco for our Established Pharmaceuticals Division. The purpose of the internship is to provide meaningful professional hands-on experience to students with proven academic performance and leadership potential. </p><br><br><br><p><b><span>ORE JOB RESPONSIBILITIES</span></b></p><br><br><ul><li>Detailed<span>SG&A analysis</span>including<span>department budgets</span>by preparing monhtly tracker for actuals and performance vs plan</li><li>Follow up on monthly payments to vendors/suppliers and assure timely settlements for Abbott dues</li><li>Assist the FP&A manager in the performing weekly reporting “sales flash, LBEc”</li><li>Assist the FP&A manager in the performing month end close “actual reporting, preparing monthly reports (F.1.0., etc)</li><li>Assist the FP&A manager in the preparation of cash flow plan, LBEs’</li><li>Monitor monthly cash flow results and prepare comparison vs different scenarios</li><li>Track receivables and communicate with distributors to make sure payments are done timely.</li><li>Assist the finance Head and the FP&A Manager for the closings and reporting of the affiliate Budgeting & Reporting - </li><li>Ensure P&L & Cash Flow<span>budget preparation</span>and submission in the system Ensure corporate policies and procedures are implemented and where necessary, proper deviations are obtained to be in line with market conditions</li></ul><br><br><p><b><span>QUALIFICATIONS</span></b> </p><br><br><ul><li>Bachelor's degree in finance, Accounting or related</li><li>5-7 year's in a relevant role working in a similar role with a strong background FP&A ,<span>budgeting and forecasting</span>.</li><li>Experience within a Multinational is advantageous</li><li>Strong language skills in ENGLISH and French.</li><li>Advanced Excel , and<span>ERP experience</span>is advantageous.</li></ul><br><br><p><b><span>Apply Now</span></b></p><br><br><br><ul><li>Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.</li><li></li><li>Connect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott and on Twitter @AbbottNews and @AbbottGlobal</li></ul><br><br><br> </div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>We are seeking a motivated Entry-Level Data and Infrastructure Engineer to join our team in Algeria. This role focuses on two main areas: managing and transforming data from multiple sources into structured formats for analysis, and designing, supporting, and maintaining cloud computing environments. This is an exciting opportunity to gain hands-on experience with cloud technologies, data infrastructure, and digital solutions.</p><p><strong>Key Responsibilities</strong></p><p><strong>Data Management:</strong></p><ul><li>Organize, collect, process, and store data from multiple sources</li><li>Transform raw, unstructured data into usable formats for analysis</li><li>Perform data mapping and quality control across one or more data sources</li><li>Assemble large, complex datasets meeting business requirements</li><li>Support data loading, migration, and retrieval tasks</li><li>Advise on data governance, policies, roles, and dataflow</li><li>Assess company data and infrastructure environments and propose improvements</li><li>Work with stakeholders including data, design, product, and executive teams to resolve data-related technical issues</li></ul><p><strong>Infrastructure & Cloud Support:</strong></p><ul><li>Design, plan, manage, maintain, and support cloud computing environments (AWS, Azure, Google Cloud)</li><li>Collaborate with engineering teams to ensure digital applications run efficiently on cloud infrastructure</li><li>Deploy applications using container technologies such as Docker and Kubernetes</li><li>Maintain existing databases (SQL, NoSQL, Postgres) and related infrastructure</li><li>Debug technical issues in complex stacks involving virtualization, containers, and microservices</li><li>Use API knowledge to design RESTful services and integrate them with existing data providers</li><li>Operate, develop, test, and implement infrastructure systems and hardware with automation in mind</li><li>Install and configure IoT Agora solutions, including network setup and SDK implementation</li><li>Support on-premises applications, including licensing, installation, and configuration</li><li>Maintain accurate and up-to-date documentation on all activities</li><li>Participate in out-of-office on-call rotations as required</li><li>Gain experience with OpenStack, Linux/UNIX, Rackspace, Docker, and Microsoft Azure</li><li>Work with OSDU community code and Schlumberger Enterprise Data Management (EDM) workflows</li></ul><p><strong>What We Offer</strong></p><ul><li>Hands-on experience with cloud computing, data infrastructure, and digital applications</li><li>Mentoring from experienced engineers and IT specialists</li><li>Exposure to real-world projects and customer-facing tasks</li><li>Career development opportunities in data engineering and cloud technologies</li><li>Collaborative and supportive work environment</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Qualifications & Experience</strong></p><ul><li>Engineering degree in Computer Science, Information Technology, Data Engineering, Cloud Computing, or related field</li><li>Basic understanding of cloud platforms (AWS, Azure, GCP), virtualization, containers, and data management</li><li>Familiarity with SQL, NoSQL, Docker, Kubernetes, and Linux/UNIX environments is a plus</li><li>Analytical, problem-solving, and organizational skills</li><li>Good communication and teamwork abilities</li><li>Motivation to learn and grow in data and infrastructure engineering</li></ul><p></p></section>