Data Entry Jobs in UAE

Job Title: Data Scientist<br><br>Job Type: Contractor<br><br>Location: Remote<br><br> Role Overview<br><br>Partnering with a leading AI research organization to engage experienced data scientists for a project focused on evaluating how well AI systems perform real-world data science work. Rather than producing deliverables yourself, you will define what excellent work looks like: designing task-specific grading criteria and scoring completed work samples with rigorous, well-reasoned written justifications.<br><br> Key Responsibilities Design precise, task-specific grading criteria for real-world data science deliverables (analyses, models, dashboards, experiment readouts, and written recommendations) Score AI-generated and human work samples against those criteria, with detailed written justifications for every score Apply consistent, evidence-based judgment so that scores are reproducible and defensible Incorporate structured feedback from senior reviewers and iterate quickly on your work Ideal Qualifications5+ years of professional data science experience in industry Background in business operations, product, or growth data science at top-tier technology companies Deep fluency in experiment design and A/B testing, metric definition, SQL/Python analysis, and communicating findings to executive stakeholders Exceptionally strong written communication Detail-oriented, consistent, and comfortable having your judgment reviewed and calibrated against peers Prior experience with AI training, evaluation, or human-data projects is a strong plus Application Process Submit your resume or relevant technical background to get started Qualified applicants may be asked to complete a brief technical assessment or submit additional information <br><br>We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.<br><br>Contract and Payment Terms<br><br>You will be engaged as an independent contractor. This is a fully remote role that can be completed on your own schedule. Projects can be extended, shortened, or concluded early depending on needs and performance. Payments are weekly on Stripe or Wise based on services rendered.

Role: Data Scientist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Scientist to work on a contract basis. The role involves developing and deploying machine learning models to solve business problems. You will collaborate with cross-functional teams to deliver data-driven insights and solutions.<br>Key Responsibilities:• Design, build, and deploy predictive models using Python and relevant libraries.• Analyze large datasets to identify trends, patterns, and correlations.• Develop and maintain data pipelines to ensure data quality and accessibility.• Collaborate with stakeholders to translate business requirements into technical specifications.• Present findings and recommendations to non-technical audiences.<br>Required Skills & Qualifications:• Proficiency in Python, including libraries such as Pandas, Num Py, and Scikit-learn.• Experience with machine learning frameworks like Tensor Flow or PyTorch.• Strong SQL skills for querying and manipulating large datasets.• Familiarity with data visualization tools such as Matplotlib or Tableau.• Ability to work independently and manage multiple priorities in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions. The position is fully remote, providing flexibility to work from anywhere.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Data Scientist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Scientist to work on a contract basis. The role involves developing and deploying machine learning models to solve business problems. You will collaborate with cross-functional teams to deliver data-driven insights and solutions.<br>Key Responsibilities:• Design, build, and deploy predictive models using Python and relevant libraries.• Analyze large datasets to identify trends, patterns, and correlations.• Develop and maintain data pipelines to ensure data quality and accessibility.• Collaborate with stakeholders to translate business requirements into technical specifications.• Present findings and recommendations to non-technical audiences.<br>Required Skills & Qualifications:• Proficiency in Python, including libraries such as Pandas, Num Py, and Scikit-learn.• Experience with machine learning frameworks like Tensor Flow or PyTorch.• Strong SQL skills for querying and manipulating large datasets.• Familiarity with data visualization tools such as Matplotlib or Tableau.• Ability to work independently and manage multiple priorities in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions. The position is fully remote, providing flexibility to work from anywhere.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Data Scientist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Scientist to work on a contract basis. The role involves developing and deploying machine learning models to solve business problems. You will collaborate with cross-functional teams to deliver data-driven insights and solutions.<br>Key Responsibilities:• Design, build, and deploy predictive models using Python and relevant libraries.• Analyze large datasets to identify trends, patterns, and correlations.• Develop and maintain data pipelines to ensure data quality and accessibility.• Collaborate with stakeholders to translate business requirements into technical specifications.• Present findings and recommendations to non-technical audiences.<br>Required Skills & Qualifications:• Proficiency in Python, including libraries such as Pandas, Num Py, and Scikit-learn.• Experience with machine learning frameworks like Tensor Flow or PyTorch.• Strong SQL skills for querying and manipulating large datasets.• Familiarity with data visualization tools such as Matplotlib or Tableau.• Ability to work independently and manage multiple priorities in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions. The position is fully remote, providing flexibility to work from anywhere.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Data Scientist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Scientist to work on a contract basis. The role involves developing and deploying machine learning models to solve business problems. You will collaborate with cross-functional teams to deliver data-driven insights and solutions.<br>Key Responsibilities:• Design, build, and deploy predictive models using Python and relevant libraries.• Analyze large datasets to identify trends, patterns, and correlations.• Develop and maintain data pipelines to ensure data quality and accessibility.• Collaborate with stakeholders to translate business requirements into technical specifications.• Present findings and recommendations to non-technical audiences.<br>Required Skills & Qualifications:• Proficiency in Python, including libraries such as Pandas, Num Py, and Scikit-learn.• Experience with machine learning frameworks like Tensor Flow or PyTorch.• Strong SQL skills for querying and manipulating large datasets.• Familiarity with data visualization tools such as Matplotlib or Tableau.• Ability to work independently and manage multiple priorities in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions. The position is fully remote, providing flexibility to work from anywhere.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Data Scientist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Scientist to work on a contract basis. The role involves developing and deploying machine learning models to solve business problems. You will collaborate with cross-functional teams to deliver data-driven insights and solutions.<br>Key Responsibilities:• Design, build, and deploy predictive models using Python and relevant libraries.• Analyze large datasets to identify trends, patterns, and correlations.• Develop and maintain data pipelines to ensure data quality and accessibility.• Collaborate with stakeholders to translate business requirements into technical specifications.• Present findings and recommendations to non-technical audiences.<br>Required Skills & Qualifications:• Proficiency in Python, including libraries such as Pandas, Num Py, and Scikit-learn.• Experience with machine learning frameworks like Tensor Flow or PyTorch.• Strong SQL skills for querying and manipulating large datasets.• Familiarity with data visualization tools such as Matplotlib or Tableau.• Ability to work independently and manage multiple priorities in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions. The position is fully remote, providing flexibility to work from anywhere.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Data Scientist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Scientist to work on a contract basis. The role involves developing and deploying machine learning models to solve business problems. You will collaborate with cross-functional teams to deliver data-driven insights and solutions.<br>Key Responsibilities:• Design, build, and deploy predictive models using Python and relevant libraries.• Analyze large datasets to identify trends, patterns, and correlations.• Develop and maintain data pipelines to ensure data quality and accessibility.• Collaborate with stakeholders to translate business requirements into technical specifications.• Present findings and recommendations to non-technical audiences.<br>Required Skills & Qualifications:• Proficiency in Python, including libraries such as Pandas, Num Py, and Scikit-learn.• Experience with machine learning frameworks like Tensor Flow or PyTorch.• Strong SQL skills for querying and manipulating large datasets.• Familiarity with data visualization tools such as Matplotlib or Tableau.• Ability to work independently and manage multiple priorities in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions. The position is fully remote, providing flexibility to work from anywhere.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>THIS IS WHERE GAME-CHANGING HAPPENS</strong></p><br><p><strong>BUSINESS TECHNOLOGY</strong></p><br><p><strong>Engineer - Data Center Systems &amp; Cloud Services</strong></p><br><p>The team provides and supports the systems that glue the business together. That means maintai</p></div>

Python Data Engineer | Dubai ???????? Experience: 5+ Years Notice Period: Immediate to 30 Days Preferred<br>Role: Python – Data Engineer Location: Dubai Technical skills are as below:<br>Core Python: Should be proficient in the basic concepts and features of the Python language, suchas data types, variables, operators, control structures, functions, classes, modules, exceptions, filehandling, etc. You should also be familiar with the built-in data structures and methods, such as lists,tuples, dictionaries, sets, strings, etc<br>Web Frameworks: Should have a sound knowledge of one or more web frameworks that are based on Python, such as P, Flask, Pyramid, etc. These frameworks provide tools and libraries to help you create web applications using Python. You should know how to use the framework& features, such as routing, templating, database integration, authentication, testing, etc<br>Object Relational Mappers (ORMs): Should be able to use ORMs to interact with databases using Python objects. ORMs abstract away the low-level SQL queries and provide a high-level interface to manipulate data. Some popular ORMs for Python are SQLAlchemy, Django ORM, Peewee, etc. You should know how to define models, perform CRUD operations, query data, handle transactions,etc<br>Data Science and Machine Learning: Should have some skills in data science and machinelearning, as these are some of the most common use cases for Python. You should be able to uselibraries and frameworks such as Num Py, Pandas, Sci Py, Scikit-learn, Tensor Flow, PyTorch, etc.to perform data analysis, manipulation, visualization, and modeling. You should also have a goodunderstanding of the basic concepts and algorithms of statistics, machine learning, and deep learning<br>Other Skills: Should also have some general skills that are useful for any developer, such as:Debugging and testing: Should be able to use tools and techniques to find and fix errors in yourcode, such as logging, breakpoints, unit testing, integration testing, etc<br>Version control: Should be able to use version control systems, such as Git, to manage your codeand collaborate with other developers. You should know how to create branches, commit changes,merge conflicts, push and pull requests, etc<br>Communication and teamwork: Should be able to communicate effectively with your clients,stakeholders, and colleagues, and work well in a team. You should be able to write clear and concise documentation, follow coding standards and best practices, give and receive feedback, etc

Marsh is the world’s leading insurance broker and risk advisor. We protect and promote possibility—helping clients dream bigger, reach further, and plan for the opportunities ahead. We bring solutions that help our clients manage risk, grow, and succeed.<br>The Role We are seeking a motivated and detail-oriented graduate (UAE National only) to join our MEA Risk Engineering / Technology and Innovation team, supporting Marsh Specialty’s Energy and Power Risk Engineering teams.<br>This role blends process improvement, digitalization, data analysis, and hands-on exposure to risk engineering. You will help analyze how our teams work, identify inefficiencies, and contribute to building digital tools and automated solutions that improve internal processes—while also supporting risk engineering deliverables and client work.<br>Key Responsibilities Process Analysis & Digitalization: Work closely with internal teams to understand existing workflows and processes, identify opportunities for improvement, and support the design of digital solutions that increase efficiency and reduce manual effort. Innovation and Software Development: Build and maintain internal tools and applications that solve real business problems faced by our Energy and Power teams across the MEA region. Explore and apply emerging technologies, including AI and machine learning where appropriate, to develop smarter internal solutions. Data Collection & Analysis: Collect, organize, and validate data from multiple sources, including risk engineering surveys and internal databases. Analyze and interpret data using Microsoft Excel and internal tools to ensure accuracy and generate actionable insights. Collaboration with Risk Engineers: Partner closely with the MEA Energy and Power Risk Engineering teams to support risk assessments, insurance submissions, and client presentations. Provide data-driven insights to help identify and mitigate potential risks. Client Support: Support the preparation of presentations and reports and participate in internal and client meetings as required. Training & Development: Shadow experienced risk engineers during field surveys to gain practical exposure to risk engineering. Participate in ongoing training to develop expertise in risk engineering and data analysis. Tools & Software: Use Microsoft tools (Excel, Power Point, Word, etc.) to organize data, produce reports, and present findings. Leverage advanced data and automation tools to improve efficiency and depth of analysis. Organization & Multitasking: Manage multiple priorities effectively, meet deadlines in a fast-paced environment, and maintain well-organized records of data and analyses.<br>Key Requirements<br>Education: Recent graduate with a degree in Engineering, Data Science, Mathematics, or a related field. Technical skills: Strong proficiency in Microsoft Excel and the broader Microsoft Office suite. Proficiency in a programming language and familiarity with automation tools, APIs, or low-code/no-code platforms is beneficial. Analytical capability: Comfortable working with data and translating analysis into practical outputs for business stakeholders. Strong attention to detail. Communication: Strong written and verbal communication skills, with the ability to present findings clearly and professionally. Personal attributes: Proactive, eager to learn, well-organized, and able to perform well under pressure. UAE National only <br>Why Join UsLearning and development: Learn from experienced risk engineering professionals and gain exposure to major regional and global clients in the Energy and Power sector. Career progression: A unique development path with potential growth into more senior technical, analytics, technology, or client-facing roles.<br>How to Apply Please apply through the official Workday requisition link to be considered. We can only progress candidates who have submitted an application through the requisition.

Knowledge & Experience<br><br>3 years + in a similar role, ideally with financial services Advanced knowledge of statistical analysis and machine learning Highly proficient in SAS programming language (SAS 9.4) Proficient in other data science programming languages (e.g. Python, R) Experience in Dataiku and understanding of MLOps (on Azure) Experience in financial industry will be an advantage Strong communication skills and ability to present findings to senior stakeholders (non technical)<br><br>Requirements<br><br>Non-technical<br><br>Strong communication skills and ability to present findings Experience in financial industry Collaborate with cross-functional teams to understand business requirements Document all steps in the development process Stay updated with the latest developments in the field<br><br>Technical<br><br>Advanced knowledge of statistical analysis and machine learning Highly proficient in SAS programming language (SAS 9.4) Proficient is other data science programming languages (e.g. Python, R) Experience in Dataiku and understanding of MLOps (on Azure) Develop, test, implement, and maintain predictive models Identify opportunities to innovatively use data⁄ extract insights from complex data sets<br><br>Cultural fit<br><br>Owning the outcome (ownership) Being driven⁄passionate in analytics Problem solving mindset, challenging the status quo Self-organizing, independent and takes ownership of each task Meticulous to detail Thrive under pressure<br><br>KPIs<br><br>Time to deployment Model accuracy (e.g., RMSE, MAE for regression tasks) Number of business problems addressed Responsiveness to business questions⁄problems⁄requests Number of departments⁄business users supported⁄adopted the solution Stakeholder satisfaction: The level of satisfaction of stakeholders with the reports and insights provided. Collaboration effectiveness: The effectiveness of collaboration with cross-functional teams, measured through the quality of insights extracted. Data security compliance: compliance with data security protocols and regulations.<br><br>Apply Now

Introduction As part of a cross-functional team of engineers, data scientists, and product owners you will be responsible for designing, implementing, optimizing, and evaluating our product (specific product language here) algorithms. If you love seeing your ideas blossom through their whole life cycle from concept to governing the interaction with millions of users - then Avrioc is the place to be for you! Requirements MS degree in Statistics, Math, Data Analytics, or a related quantitative field4+ years Professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting, optimization Experience with one or more Advanced Data Science software languages (R, Python, Scala, SAS) Hand on experience with Deep Learning models such as Image classification, Object Detection, Style transfer and similar Hands-on experience with any of Python DL libraries such as PyTorch, Tensor Flow on keras Hands-on experience with working on CUDA backend Hands-on experience with Linux system terminal, shell scripting Working knowledge of ELK stack and Message Broker queues Proven ability to deploy machine learning models from the research environment (Jupyter Notebooks) to production via procedural or pipeline approaches Comfortable with cloud-based platforms (AWS, Azure, Google) Good planning abilities in order to accurately make project timeline estimates. Ability to show initiative and work independently with minimal direction. Demonstrate a desire to remain current with industry technologies and standards. Self-starter and strong interpersonal skills.<br>Nice to have Comfortable with cloud-based platforms (AWS, Azure). Good communication and presentation skills. Experience with media data (platforms and customer data from either the media agency, technology, or brand side). Good appreciation for the Agile/Scrum methodology

Introduction As part of a cross-functional team of engineers, data scientists, and product owners you will be responsible for designing, implementing, optimizing, and evaluating our product (specific product language here) algorithms. If you love seeing your ideas blossom through their whole life cycle from concept to governing the interaction with millions of users - then Avrioc is the place to be for you! Requirements MS degree in Statistics, Math, Data Analytics, or a related quantitative field4+ years Professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting, optimization Experience with one or more Advanced Data Science software languages (R, Python, Scala, SAS) Hand on experience with Deep Learning models such as Image classification, Object Detection, Style transfer and similar Hands-on experience with any of Python DL libraries such as PyTorch, Tensor Flow on keras Hands-on experience with working on CUDA backend Hands-on experience with Linux system terminal, shell scripting Working knowledge of ELK stack and Message Broker queues Proven ability to deploy machine learning models from the research environment (Jupyter Notebooks) to production via procedural or pipeline approaches Comfortable with cloud-based platforms (AWS, Azure, Google) Good planning abilities in order to accurately make project timeline estimates. Ability to show initiative and work independently with minimal direction. Demonstrate a desire to remain current with industry technologies and standards. Self-starter and strong interpersonal skills.<br>Nice to have Comfortable with cloud-based platforms (AWS, Azure). Good communication and presentation skills. Experience with media data (platforms and customer data from either the media agency, technology, or brand side). Good appreciation for the Agile/Scrum methodology

Introduction As part of a cross-functional team of engineers, data scientists, and product owners you will be responsible for designing, implementing, optimizing, and evaluating our product (specific product language here) algorithms. If you love seeing your ideas blossom through their whole life cycle from concept to governing the interaction with millions of users - then Avrioc is the place to be for you! Requirements MS degree in Statistics, Math, Data Analytics, or a related quantitative field4+ years Professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting, optimization Experience with one or more Advanced Data Science software languages (R, Python, Scala, SAS) Hand on experience with Deep Learning models such as Image classification, Object Detection, Style transfer and similar Hands-on experience with any of Python DL libraries such as PyTorch, Tensor Flow on keras Hands-on experience with working on CUDA backend Hands-on experience with Linux system terminal, shell scripting Working knowledge of ELK stack and Message Broker queues Proven ability to deploy machine learning models from the research environment (Jupyter Notebooks) to production via procedural or pipeline approaches Comfortable with cloud-based platforms (AWS, Azure, Google) Good planning abilities in order to accurately make project timeline estimates. Ability to show initiative and work independently with minimal direction. Demonstrate a desire to remain current with industry technologies and standards. Self-starter and strong interpersonal skills.<br>Nice to have Comfortable with cloud-based platforms (AWS, Azure). Good communication and presentation skills. Experience with media data (platforms and customer data from either the media agency, technology, or brand side). Good appreciation for the Agile/Scrum methodology

We have an immediate opportunity for "Data Migration Lead – Core Banking Programme". Please let me know if you're interested kindly send me your CV to kirthika.r@lancesoft.com<br>????Title: Data Migration Lead – Core Banking Programme????Location : Dubai- onsite????Duration : 1 year contract⏰ Notice Period: Immediate joiner or up to 30 days<br>???? Key Requirements:<br>Education & Certifications Postgraduate /Engineer Experience Minimum of 15+ years of experience in Core banking transformation/ data migration with at least 5 years in system implementation. Demonstrated experience in implementing core banking systems, particularly Oracle Flexcube. Experience in requirements management, Gap analysis and solutioning. Technical Skills Preferred to have experience in Oracle FLEXCUBE configurations of products and processes. Proven track record of successful system integrations and data migrations<br>Behavioural Skills Exceptional leadership and team management skills. Excellent communication and stakeholder management abilities. Strong problem-solving skills and attention to detail. Ability to work under pressure and meet tight deadlines. Experience in managing core banking transformation projects Experience in implementing and supporting core banking systems

We have an immediate opportunity for "Data Migration Lead – Core Banking Programme". Please let me know if you're interested kindly send me your CV to kirthika.r@lancesoft.com<br>????Title: Data Migration Lead – Core Banking Programme????Location : Dubai- onsite????Duration : 1 year contract⏰ Notice Period: Immediate joiner or up to 30 days<br>???? Key Requirements:<br>Education & Certifications Postgraduate /Engineer Experience Minimum of 15+ years of experience in Core banking transformation/ data migration with at least 5 years in system implementation. Demonstrated experience in implementing core banking systems, particularly Oracle Flexcube. Experience in requirements management, Gap analysis and solutioning. Technical Skills Preferred to have experience in Oracle FLEXCUBE configurations of products and processes. Proven track record of successful system integrations and data migrations<br>Behavioural Skills Exceptional leadership and team management skills. Excellent communication and stakeholder management abilities. Strong problem-solving skills and attention to detail. Ability to work under pressure and meet tight deadlines. Experience in managing core banking transformation projects Experience in implementing and supporting core banking systems

Exciting opportunity within an International MEP Design consultancy to build and lead a new vertical across the Middle East specialising in the MEP design of Data Centers. <br>As an Associate Director within the organisation, the role will be responsible for leveraging international capabilities to build a new vertical, recruit and manage a team of MEP Design experts with extensive experience in Data Center design and construction. <br>Requirements: <br>15 years+ experience of MEP Design experience8 years+ experience of large scale Data Center design and build5 years experience in the region. Demonstrate strong leadership skills Demonstrate strong client management and communication skills.

Overview<br><br>The Business Director is a senior leadership role responsible for end to end stewardship of client relationships within the Publicis Groupe ecosystem. The role requires deep understanding of how a modern holding company operates across multiple agencies, verticals, and specialist capabilities while ensuring seamless, integrated delivery to clients.<br><br>This role leads the creation and growth of the Customer Analytics & Insights function. It is a transformational, entrepreneurial position responsible for embedding a data‑driven culture, building governance, setting processes, and coordinating analytics across business units.<br><br>Responsibilities<br><br>Key responsibilities include deploying modern data infrastructure and tools, ensuring data governance, and developing advanced analytics models. The role generates insights across customer segmentation, forecasting, churn prediction, campaign performance, inventory optimization, and customer lifetime value, supporting major functions across Retail, Marketing, Loyalty, Customer Engagement, and Digital. Strong emphasis is placed on presenting insights through compelling data storytelling for senior leadership.<br><br>The position acts as a central partner to executive stakeholders, internal cross‑functional teams, and external vendors. It also focuses heavily on team leadership, recruiting and nurturing analytics talent, and promoting a culture of innovation and continuous improvement<br><br>Qualifications<br><br>Qualifications include extensive experience (15+ years) in analytics, loyalty, big data, and AI, strong technical skills (SQL, Python, R, BI tools, Dataiku), and excellent communication and storytelling capabilities.<br><br>Please note this role is based in Abu Dhabi - for a 12 month contract.<br><br>Arabic is required.<br><br>Additional Information<br><br>R-3973P-4518

Overview<br><br>The Business Director is a senior leadership role responsible for end to end stewardship of client relationships within the Publicis Groupe ecosystem. The role requires deep understanding of how a modern holding company operates across multiple agencies, verticals, and specialist capabilities while ensuring seamless, integrated delivery to clients.<br><br>This role leads the creation and growth of the Customer Analytics & Insights function. It is a transformational, entrepreneurial position responsible for embedding a data‑driven culture, building governance, setting processes, and coordinating analytics across business units.<br><br>Responsibilities<br><br>Key responsibilities include deploying modern data infrastructure and tools, ensuring data governance, and developing advanced analytics models. The role generates insights across customer segmentation, forecasting, churn prediction, campaign performance, inventory optimization, and customer lifetime value, supporting major functions across Retail, Marketing, Loyalty, Customer Engagement, and Digital. Strong emphasis is placed on presenting insights through compelling data storytelling for senior leadership.<br><br>The position acts as a central partner to executive stakeholders, internal cross‑functional teams, and external vendors. It also focuses heavily on team leadership, recruiting and nurturing analytics talent, and promoting a culture of innovation and continuous improvement<br><br>Qualifications<br><br>Qualifications include extensive experience (15+ years) in analytics, loyalty, big data, and AI, strong technical skills (SQL, Python, R, BI tools, Dataiku), and excellent communication and storytelling capabilities.<br><br>Please note this role is based in Abu Dhabi - for a 12 month contract.<br><br>Arabic is required.<br><br>Additional Information<br><br>R-3973P-4518

Job Description<br><br>Senior Data Analyst joining the BI team to provide independent, end-to-end analytical support to business stakeholders across finera. The role combines strong analytical thinking, SQL fluency, and deliberate use of AI tooling — Claude-generated artefacts, AI-assisted SQL drafting — as a force multiplier; the expectation is to do more with AI, not less rigorous work. The analyst operates across the full landscape of finera’s information systems, translating business questions into reliable, repeatable answers, and acts as a trusted analytical partner to department heads rather than a ticket-taker.<br><br>Job Requirements<br><br> 5+ years experience as a Data Analyst, BI Analyst, or equivalent IC role, ideally in fintech, payments, or another regulated, data-intensive industry. Bachelor’s degree in a quantitative discipline (Computer Science, Statistics, Mathematics, Economics, Engineering) or equivalent demonstrable experience. Demonstrated track record of working independently with non-technical business stakeholders to translate ambiguous questions into structured analyses and decisions. Hands-on experience operating across multiple, heterogeneous data systems (relational databases, Saa S platforms, file-based exports) without requiring engineering hand-holding for data extraction. Comfortable working in an environment subject to PCI DSS and other regulatory controls, with appropriate handling of sensitive financial and personal data. Strong proficiency in integrating AI tools into daily workflows to drive efficiency, quality, and innovation<br> Required Skills & Competencies:Strong SQL — complex joins, CTEs, window functions, performance-conscious query design — applied to Postgre SQL or comparable relational databases. Strong Tableau — dashboard design, calculated fields, parameters, performance tuning, publishing and permissioning on a shared server. Working knowledge of Python (pandas, requests, or equivalent) for data extraction, transformation, and integration tasks where SQL alone is insufficient. Fluent, deliberate use of AI tooling (Claude or comparable) to accelerate analytical work — including prompt design for SQL generation, validation of AI output, and creation of Claude-generated artefacts for stakeholder communication. Strong analytical and critical thinking combined with excellent written and verbal communication in English — able to challenge stakeholder framing, identify the question behind the question, and present findings clearly to both technical and non- technical audiences. <br>Nice-to-have/Preferred:Domain familiarity with payments, payment gateways, processor settlements, FX, or card schemes — understanding of concepts such as authorisation, capture, chargebacks, interchange, and effective rate calculations. Exposure to Salesforce reporting (SOQL, Reports & Dashboards) — relevant given Salesforce’s role as a primary CRM and operational data source at finera.<br><br>Job Responsibilities<br><br>Partner directly with stakeholders across finera (commercial, operations, finance, product, risk, compliance) to scope analytical questions, define success criteria, and deliver answers in the form best suited to the audience — Tableau dashboards, Claude-generated artefacts, ad-hoc reports, or written briefs. Independently retrieve, join, and validate data from across finera’s information systems — Postgre SQL databases, Salesforce, Zendesk, Jira/Confluence, Slack, Gmail, processor settlement files, and any other relevant source — without relying on engineering support for routine extraction. Build, maintain, and continuously improve the BI team’s Tableau dashboards and reporting suite, including operational reports, executive dashboards, and recurring management decks. Use AI tooling (Claude and comparable assistants) deliberately as a force multiplier — drafting and validating SQL, accelerating exploratory analysis, generating stakeholder-ready artefacts — while retaining full ownership of correctness, business interpretation, and data quality. Document data sources, business definitions, and analytical methodology so that work is reproducible, auditable, and transferable across the BI team.<br><br>Job Benefits<br><br>Competitive salary package aligned with experience and market standards. Medical Insurance starting from day 1. Access to training resources and development opportunities that support your professional growth. Well-stocked office with snacks, drinks, and refreshments available daily. A multinational organisation that promotes a strong, collaborative culture Regular team-building events and company activities that strengthen collaboration across teams. Employee Recognition Program celebrating our "Employee of the Month" with special perks.