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<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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; 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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p></p><ul> <li><font dir="auto" ><font dir="auto" >Data entry and updating on computer systems.&nbsp;</font></font></li> <li><font dir="auto" ><font dir="auto" >Verification of the accuracy of the information entered.</font></font></li> <li><font dir="auto" ><font dir="auto" >Document classification and archiving.</font></font></li> <li><font dir="auto" ><font dir="auto" >Processing of simple administrative files.</font></font></li> <li><font dir="auto" ><font dir="auto" >Preparation of reports and monitoring tables.</font></font></li> <li><font dir="auto" ><font dir="auto" >Respect for deadlines and data confidentiality.</font></font></li> </ul><p></p> <p></p><ul> <li><font dir="auto" ><font dir="auto" >University level or training in computer science/management.</font></font></li> <li><font dir="auto" ><font dir="auto" >Minimum 2 years' experience in a similar position.</font></font></li> <li><font dir="auto" ><font dir="auto" >Good mastery of computer tools and the Office suite.</font></font></li> <li><font dir="auto" ><font dir="auto" >Speed ​​and accuracy in data entry.</font></font></li> <li><font dir="auto" ><font dir="auto" >Sense of organization and professional rigor.</font></font></li> </ul><p></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><font dir="auto" ><font dir="auto" >University degree or training in computer science/management. Minimum of 2 years' experience in a similar position. Good command of computer tools and the Microsoft Office suite. Speed ​​and accuracy in data entry. Strong organizational skills and professional rigor.</font></font></p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p></p><ul> <li><font dir="auto" ><font dir="auto" >Data entry and updating.&nbsp;</font></font></li> <li><font dir="auto" ><font dir="auto" >Document classification and verification</font></font></li> <li><font dir="auto" ><font dir="auto" >Respect for confidentiality</font></font></li> </ul><p></p> <p></p><ul> <li><font dir="auto" ><font dir="auto" >Good computer skills</font></font></li> <li><font dir="auto" ><font dir="auto" >Rapidity and precision</font></font></li> </ul><p></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><font dir="auto" ><font dir="auto" >If you match this profile, please send your CV by clicking_x000D_</font></font></p> <p><font dir="auto" ><font dir="auto" >on the apply tab</font></font></p><p></p></section>

<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>

<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>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"> <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"><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 &amp; 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 &amp; 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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Description<br><p><strong>ABOUT THE JOB</strong></p><br><p>This role combines data analysis and client consultation from the start, with plenty of room for growth. You find the stories behind scatter plots and help clients answer their business issues. Your insights will influence decisions for some of today’s leading global companies.</p><br><p><strong>RESPONSIBILITIES</strong></p><br><ul><li>Managing a portfolio of NIQ retail FMCG partners in Algeria;</li><li>Become an expert and own the ways of working on the Discover platform to be able to direct clients as needed;</li><li>Analyse and interpret retail audit data with actionable presentations on different FMCG categories to answer clients' business issues;</li><li>Ensure a daily interface with clients for data delivery, analysis, and answer their different requests;</li><li>Ensure day-to-day relationship management with internal teams for the completion of projects (panel &amp; ad hoc);</li><li>Communicate clearly, professionally, and in a timely manner with both internal and external stakeholders;</li><li>Maintain client satisfaction with every encounter. Through understanding client queries, managing internal resources, setting client expectations &amp; committing to timelines;</li><li>Use internal tools and data sources.</li></ul><p><strong>A LITTLE BIT ABOUT YOU</strong></p><br><p>Curiosity drives your interest in what moves the market. You find potential in percentages. Managing time and deadlines comes naturally to you. You’re known for your impeccable organisation. Connecting with clients matters to you, and that motivates you to sift through data from a new angle. You can identify the narratives behind numbers, and you’re always looking for what’s next.</p><br><p><strong>REQUIREMENTS</strong></p><br><ul><li><strong>At least a bachelor's degree in marketing, management, communication or equivalent;</strong></li><li><strong>Fluent in spoken and written English and Business French;</strong></li><li><strong>Excellent analytical skills and good communication skills, both written and verbal;</strong></li><li>1-2 years of work experience is preferred, but it's not a must-have (within consumer or trade marketing, analytics and insights or market research);</li><li>Good interpersonal skills;</li><li>Adaptable to changes in priority or tasks;</li><li>Has interest and knowledge in consumer marketing, statistics, research techniques, and experimental designs;</li><li>Proficient in Microsoft Excel &amp; PowerPoint, and learning new software;</li><li>An ability to work independently and in a team;</li><li>Comfortable working in a digital-enabled environment.</li></ul><p>#LI-Hybrid</p><br><br>Additional Information<br><p><strong>Our Benefits</strong></p><br><ul><li>Flexible working environment</li><li>Volunteer time off</li><li>LinkedIn Learning</li><li>Employee-Assistance-Program (EAP)</li></ul><p>NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies.</p><br> <p><strong>About NIQ</strong></p><br><p>NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.</p><br><p>For more information, visit NIQ.com</p><br><p>Want to keep up with our latest updates?</p><br><p>Follow us on:&nbsp;LinkedIn&nbsp;|&nbsp;Instagram&nbsp;|&nbsp;Twitter&nbsp;|&nbsp;Facebook</p><br> <p><strong>Our commitment to Diversity, Equity, and Inclusion</strong></p><br><p>At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.&nbsp;&nbsp;All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws.&nbsp;We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact.&nbsp;To learn more about our ongoing efforts in diversity and inclusion, please visit the&nbsp;https://nielseniq.com/global/en/news-center/diversity-inclusion</p><br><br><br> </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"> <span>Job Overview We are seeking participants for a conversational audio recording project involving natural customer support-style conversations using provided prompts and instructions.<br> Selected participants may complete recordings individually or with a partner depending on the assignment type and language requirements.<br> Please note: submitting interest through Workable and/or the referral form does not guarantee participation or selection for the project.<br> Due to project volume, language requirements, and limited assignment availability, participant selection and scheduling will be based on operational needs, language alignment, quality review, and a first come, first served model.<br> Project Description This project involves recording approximately 1 hour of natural audio conversations based on customer support scenarios and prompts.<br> Depending on the assignment, participants may: Record individually or with a partner Play a role such as Customer or Support Agent Be asked to record in one or two languages depending on the assignment scope Example conversation topics may include: Verifying account details Solving basic technical issues Explaining simple policies or troubleshooting steps All recordings must be completed in a quiet, noise-free environment to ensure audio quality standards are met.<br> Participant Responsibilities Record conversations following provided instructions and prompts Speak naturally and clearly during recordings Participate in assigned role-based scenarios Ensure recordings are completed in a quiet environment Upload files correctly following project instructions Re-record assignments if quality requirements are not met Complete assignments within project deadlines Selection &amp; Participation Process Participant submits interest through Workable and/or the referral form Participant information is reviewed based on language alignment and project needs Selected participants may receive additional onboarding instructions and agreement documentation Approved participants are scheduled based on project demand, pairing availability, and language needs Submission of interest does not guarantee immediate assignment, onboarding, or participation.<br> Payment Information Participants will be paid per approved assignment.<br> Assignments involve approximately 1 hour of recording time Pay Rate for 1 Hour of Recording: $20.<br>00 USD Payment is based on approved work and successful quality review Work that does not meet quality standards may require re-recording or may not be approved for payment Payment timelines and methods will vary depending on participant onboarding type and project structure Important Requirements Approximately 1 hour of recording per assignment Speak naturally (not robotic or scripted sounding) Follow instructions carefully Maintain clear audio quality with minimal background noise Be available for potential re-record requests if needed Technical Requirements Computer or laptop with internet access Working microphone/headset Ability to use: Google Sheets Google Drive Zencastr Ability to download, rename, and upload files correctly Eligibility Criteria Strong communication skills in required language(s) Ability to follow instructions and meet deadlines Attention to detail Ability to participate in conversational recordings Availability aligned with project timelines and assignment needs Agreement &amp; Acknowledgement Selected participants may be required to sign an agreement and acknowledgement form confirming: Understanding of project instructions and requirements Acceptance of quality review and payment terms Consent for project-related use of recorded audio data Fixed Pay Rates (Project-Specific / No Ranges) Please note: These approved premium rates are specific to this project scope and launch phase only.<br> Rates are fixed and non-negotiable.<br> For participants currently onboarded through Deel: Existing Deel rates and onboarding structures may remain in place depending on assignment type and operational alignment.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Saisir, v rifier et mettre jour les donn es informatiques dans les syst mes ou bases de donn es. Contr ler la coh rence et la qualit des informations saisies. Assurer le classement, archivage et la num risation des documents. Collaborer avec les autres services pour garantir la fiabilit des donn es administratives. Respecter les d lais de saisie et les proc dures internes.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bonne ma trise des outils informatiques (Word, Excel, logiciels de gestion de donn es). Sens du d tail, rigueur et discr tion professionnelle. Organisation et capacit g rer un volume important d informations. Niveau Bac ou plus, formation en administration ou informatique souhait e.</p><p></p></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>The Production Operations Engineer is responsible for assisting in delivery of safe, efficient, and reliable products and services to our customers. The job consults with operations groups as needed to support the area of expertise and identifies opportunities for continuous improvement of product and service delivery and formally communicates findings. The Production Operations Engineer actively participates in promoting new technology and services offerings and supports the PL in risk management and applying lessons learned to improve job design and execution as related to the area of expertise. They provide real-time support to operations as required. Provide technical support in the area of expertise throughout the Sales and Product and Service Delivery process. Assist as required with the development of technical job designs for PLs. Assist with identifying areas where new and cost effective techniques can be applied. Explore opportunities for value-added products and services. Consult with Design/Technical Engineer role as required to optimize the technical design. Assist in real-time incident response, recovery, and investigation as related to the area of expertise. Assist in evaluating technical viability and overall appraisal of tenders as related to the area of expertise. Remain current on new technologies. Maintain customer visibility through active participation in professional society activities and calls for papers. Understand the competition s technical offering. Participate in external technical societies and communities. Contribute, write and review technical publications. Engage with local universities, Customer institutes and research organizations.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Minimum Bachelor degree</p><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" >Provide daily administrative support (mail, filing, archiving). Draft and format administrative documents. Greet and direct visitors and callers. Track files and process internal requests. Manage data entry and database updates.</font></font></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><font dir="auto" ><font dir="auto" >Proficient in office software (Word, Excel, Outlook). Strong organizational skills and attention to detail. Discretion and respect for confidentiality. Good analytical and problem-solving skills.</font></font></p><p></p></section>