accountant

business analyst

finance manager

ai specialist

analyst

data analyst

Hermès

<div>
 
 Job Title: D
 
 
 ata analyst
 
 
 
 
 REPORTS TO: SENIOR RETAIL EXCELLENCE MANAGER
 
 
 
 
 Location: DUBAI
 
 
 
 
 Organisation unit: Hermes middle east
 
 
 
 
 GENERAL MISSION
 
 
 
 Herm&egrave;s is looking for a Data Analyst to strengthen its understanding of both clients and business dynamics across our 6 stores in the Middle East region. The role combines customer‑centric analyses with deep business performance insights to support teams in elevating service, client experience, and retail excellence. By ensuring high data quality and transforming complex information into actionable recommendations, the Data Analyst will help the Maison make informed decisions that advance both customer knowledge and operational performance.
 
 
 
 Responsibilities
 
 
 
 
 Dashboards creation &amp; maintaining
 
 
 
 <ul>
 <li>
 Design and produce dashboards/reports to provide in-depth analysis of business performance and clients&rsquo; behaviour (e.g. client journey, spending patterns)
 </li>
 <li>
 Collaborate with Group and Europe Data Analytics Team to enrich the current dashboards with more insights
 </li>
 <li>
 Ensure the accuracy, consistency, and reliability of data presented in all dashboards and reports, implementing robust data validation processes.
 </li>
 <li>
 Proactively gather and translate evolving business requirements from various stakeholders into actionable specifications for new dashboard development and enhancements
 
 
 </li>
 </ul>
 
 CUSTOMER DATA QUALITY
 
 
 
 <ul>
 <li>
 Improve the customer database quality and animate the retail teams to share best practices in Customer data capture
 </li>
 <li>
 Ensure regular monitoring of the customer database by developing dedicated analyses and Reports
 </li>
 <li>
 Support and deploy Group projects locally, adapting to specific market needs
 </li>
 <li>
 Develop assets to train sales teams on customer data management
 
 
 </li>
 </ul>
 
 Customer Knowledge
 
 
 
 <ul>
 <li>
 Be responsible of customer knowledge for the subsidiary by sharing retail and customer orientated insights
 </li>
 <li>
 Analyse customer patterns and retail performances to support strategic decisions
 </li>
 <li>
 Proactively monitor and identify emerging client behaviors, market trends, and competitive landscapes to anticipate future opportunities and challenges
 </li>
 <li>
 Support customer targeting initiatives with CRM analyses and provide detailed customer profile analyses
 </li>
 <li>
 Accompany group analytics initiatives, such as customer segmentation, and animate them across the subsidiary
 </li>
 <li>
 Perform ad-hoc analysis to answer specific business questions or deepen understanding of behavior or trends that are not available in existing automated dashboards
 
 
 </li>
 </ul>
 
 Retail excellence &amp; Business performance
 
 
 
 <ul>
 <li>
 Analyse on a regular basis (e.g. weekly, monthly) the retail performance and key KPIs (e.g. sales, sales per metiers, traffic, conversion rate, UPT, average basket)
 </li>
 <li>
 Propose recommendations and build action plans
 </li>
 <li>
 Ensure harmonization and alignment of performance indicators across teams and stores, aligned with the Group
 </li>
 <li>
 Contribute to the preparation of business reviews, strategic committees, and management presentations, providing clear and data-backed narratives
 
 
 </li>
 </ul>
 
 Experience &amp; Requirements
 
 
 
 <ul>
 <li>
 Master's degree (Bac +5) in Engineering or in Science / Data Analysis / Computer Science, and a minimum of 3 to 5 years&rsquo; experience in a similar role
 </li>
 <li>
 Confirmed background in statistical methodologies and social behaviour analysis
 </li>
 <li>
 Proficiency in programming languages (SQL, Python, etc.) and BI and visualization tools (Power BI and/or Cognos IBM)
 </li>
 <li>
 Proficient in data analysis and reporting
 </li>
 <li>
 Ability to analyse and synthesize
 </li>
 <li>
 Customer and business orientated mindset
 </li>
 <li>
 Curiosity and adaptability
 </li>
 <li>
 Discretion and confidentiality
 </li>
 <li>
 Team spirit
 </li>
 <li>
 Fluent preferably in multiple languages with spoken and written English mandatory. Arabic &amp; French are a plus.
 </li>
 </ul>
</div>

Retail Data Analyst

PaymentGenes

<div>DubaiPermanentAnalysisPosted 29/05/2026</div>
 <div>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 &mdash; Claude-generated artefacts, AI-assisted SQL drafting &mdash; 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&rsquo;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. 
 
Required Experience:
<ul><li>5+ years experience as a Data Analyst, BI Analyst, or equivalent IC role, ideally in fintech, payments, or another regulated, data-intensive industry.
</li><li>Bachelor&rsquo;s degree in a quantitative discipline (Computer Science, Statistics, Mathematics, Economics, Engineering) or equivalent demonstrable experience.
</li><li>Demonstrated track record of working independently with non-technical business stakeholders to translate ambiguous questions into structured analyses and decisions.
</li><li>Hands-on experience operating across multiple, heterogeneous data systems (relational databases, SaaS platforms, file-based exports) without requiring engineering hand-holding for data extraction.
</li><li>Comfortable working in an environment subject to PCI DSS and other regulatory controls, with appropriate handling of sensitive financial and personal data.
</li><li>Strong proficiency in integrating AI tools into daily workflows to drive efficiency, quality, and innovation
</li></ul>
 
Required Skills &amp; Competencies:
<ul><li>Strong SQL &mdash; complex joins, CTEs, window functions, performance-conscious query design &mdash; applied to PostgreSQL or comparable relational databases.
</li><li>Strong Tableau &mdash; dashboard design, calculated fields, parameters, performance tuning, publishing and permissioning on a shared server.
</li><li>Working knowledge of Python (pandas, requests, or equivalent) for data extraction, transformation, and integration tasks where SQL alone is insufficient.
</li><li>Fluent, deliberate use of AI tooling (Claude or comparable) to accelerate analytical work &mdash; including prompt design for SQL generation, validation of AI output, and creation of Claude-generated artefacts for stakeholder communication.
</li><li>Strong analytical and critical thinking combined with excellent written and verbal communication in English &mdash; able to challenge stakeholder framing, identify the question behind the question, and present findings clearly to both technical and non- technical audiences.
</li></ul>
 
Nice-to-have/Preferred:
<ul><li>Domain familiarity with payments, payment gateways, processor settlements, FX, or card schemes &mdash; understanding of concepts such as authorisation, capture, chargebacks, interchange, and effective rate calculations.
</li><li>Exposure to Salesforce reporting (SOQL, Reports &amp; Dashboards) &mdash; relevant given Salesforce&rsquo;s role as a primary CRM and operational data source at finera.
</li><li>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 &mdash; Tableau dashboards, Claude-generated artefacts, ad-hoc reports, or written briefs.
</li><li>Independently retrieve, join, and validate data from across finera&rsquo;s information systems &mdash; PostgreSQL databases, Salesforce, Zendesk, Jira/Confluence, Slack, Gmail, processor settlement files, and any other relevant source &mdash; without relying on engineering support for routine extraction.
</li><li>Build, maintain, and continuously improve the BI team&rsquo;s Tableau dashboards and reporting suite, including operational reports, executive dashboards, and recurring management decks.
</li><li>Use AI tooling (Claude and comparable assistants) deliberately as a force multiplier &mdash; drafting and validating SQL, accelerating exploratory analysis, generating stakeholder-ready artefacts &mdash; while retaining full ownership of correctness, business interpretation, and data quality.
</li><li>Document data sources, business definitions, and analytical methodology so that work is reproducible, auditable, and transferable across the BI team.
</li></ul>
 
Benefits-
<ul><li>Competitive salary package aligned with experience and market standards.
</li><li>Medical Insurance starting from day 1.
</li><li>Access to training resources and development opportunities that support your professional growth.
</li><li>Well-stocked office with snacks, drinks, and refreshments available daily.
</li><li>A multinational organisation that promotes a strong, collaborative culture
</li><li>Regular team-building events and company activities that strengthen collaboration across teams.
</li><li>Employee Recognition Program celebrating our &quot;Employee of the Month&quot; with special perks.</li></ul></div>

Senior Data Analyst

Publicis Groupe Middle East

<div>
 
 Overview
 
 
 
 
 Data, Reporting &amp; Infrastructure
 
 
 
 <ul>
 <li>
 Own and maintain all data pipelines supporting paid media reporting and analytics, ensuring reliability, scalability, and accuracy.
 </li>
 <li>
 Manage and validate data integrations via APIs across media platforms, analytics tools, and visualization environments.
 </li>
 <li>
 Oversee dashboard development and maintenance, ensuring client-facing visualizations are fully accurate, up to date, and aligned with agreed KPIs.
 </li>
 <li>
 Act as the primary quality-control owner for all data outputs, proactively identifying and resolving discrepancies or errors.
 </li>
 <li>
 Work closely with activation and ad operations teams to ensure correct backend trafficking, tagging, and tracking implementation across all campaigns.
 
 
 </li>
 </ul>
 
 Planning &amp; Performance Reporting Management
 
 
 
 <ul>
 <li>
 Own and manage the client&rsquo;s Annual Media Planning Document, which includes yearly KPIs which is monitored and reported monthly to the client.
 </li>
 <li>
 Ensure KPIs are consistently reflected across planning documents, dashboards, and performance reports.
 </li>
 <li>
 Maintain historical performance benchmarks and ensure year-on-year comparability.
 
 
 </li>
 </ul>
 
 First-Party Data &amp; CDP Enablement
 
 
 
 <ul>
 <li>
 Act as support for the client&rsquo;s Customer Data Platform (CDP), ensuring first-party data is effectively leveraged across paid media.
 </li>
 <li>
 Support the activation, measurement, and optimization of first-party and audience-based media strategies.
 </li>
 <li>
 Translate complex first-party data outputs into actionable insights for planners and client stakeholders.
 </li>
 <li>
 Ensure data governance, consistency, and best practices are upheld when using customer data in paid media environments.
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 
 Technical &amp; Product
 
 
 
 <ul>
 <li>
 Strong, hands-on understanding of paid media platforms and ecosystems.
 </li>
 <li>
 Proven experience working with:
 </li>
 <ul>
 <li>
 APIs and data integrations
 </li>
 <li>
 Data pipelines
 </li>
 <li>
 Visualization tools and dashboards
 </li>
 <li>
 Trafficking, tagging, and tracking frameworks
 </li>
 </ul>
 <li>
 Advanced, professional-level Excel skills (complex formulas, pivots, data validation, large datasets).
 
 </li>
 </ul>
 
 Client &amp; Internal Collaboration
 
 
 
 <ul>
 <li>
 Act as a trusted analytics partner to client stakeholders, confidently explaining data methodologies, KPIs, and performance trends.
 </li>
 <li>
 Collaborate closely with planning, activation, technology, and data teams to ensure seamless end-to-end delivery.
 </li>
 <li>
 Support senior leadership with analytical inputs for client presentations, reviews, and strategic discussions.
 </li>
 <li>
 Help establish and evolve analytics best practices within the planning team.
 </li>
 <li>
 Exceptional attention to detail with a track record of delivering accurate, error-free outputs.
 </li>
 <li>
 Strong communication skills, with the ability to translate data into clear insights for non-technical stakeholders and working collaborative within larger teams.
 
 
 </li>
 </ul>
 
 Innovative &amp; Analytical Mindset
 
 
 
 <ul>
 <li>
 Highly detail-oriented and methodical
 </li>
 <li>
 Passionate about data and continuous improvement
 </li>
 <li>
 Proactive problem-solver with strong ownership mindset
 </li>
 <li>
 Comfortable working in fast-paced, deadline-driven environments
 </li>
 <li>
 Collaborative and client-focused
 
 
 </li>
 </ul>
 
 People &amp; Leadership
 
 
 
 <ul>
 <li>
 Seeks others' feedback to develop self-awareness, strengths and address development area.
 </li>
 <li>
 Is able to proactively raise issues to improve effective team working and collaboration.
 </li>
 <li>
 Is able to communicate confidently in a clear, concise and articulate manner.
 </li>
 <li>
 Collaborates with stakeholders and embraces an inclusive based environment.
 </li>
 <li>
 Is able to make valuable contributions to discussions and brainstorming sessions, providing insight and point of view.
 </li>
 <li>
 Able to build relationships quickly with others and engages personally with peers and clients.
 </li>
 <li>
 Treats others with respect, listens to other perspectives, especially when they are different from own.
 </li>
 <li>
 Able to tackle problems in a timely manner and develop contingency plans that focus on problem resolution.
 </li>
 <li>
 Drives a culture of trust with Peers, clients and all other stakeholders.
 
 
 </li>
 </ul>
 
 Self
 
 
 
 <ul>
 <li>
 Is able to take ownership for actions and deals with consequences in a mature manner.
 </li>
 <li>
 Able to adjust performance based on experiences and feedback and showcases agility and flexibility.
 </li>
 <li>
 Displays openness to the ideas of others and leverages them when beneficial for the business.
 </li>
 <li>
 Showcases curiosity and open mindset towards new ways of doing things.
 </li>
 <li>
 Is able to set high impact objectives and goes above and beyond to exceed performance.
 </li>
 <li>
 Demonstrates the Growth Mindset and is able to take ownership of personal development and growth.
 </li>
 <li>
 Capable of constructively challenging the status-quo and takes risks to challenge internal and external perspectives.
 </li>
 <li>
 Approaches situations and individuals with honesty, integrity and humbleness.
 </li>
 <li>
 Displays resilience and maintains drives and a positive outlook when faced with challenges.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 5+ years of experience in media analytics, marketing analytics, or performance measurement, ideally within a media agency or complex client environment.
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 R-3862P-4387
</div>

Manager - Data Analyst

Amazon

<div>
 
 Description
 
 
 
 If you are a supply chain professional with a passion to innovate and contribute in a fast paced growing environment, you might be a good fit to join Amazon.com Supply chain team. This role involves big data handling and cross functional communication. The candidate is expected to have exceptional analytical, planning and written/verbal communication skills along with preferred experience in managing transportation function in retail domain.
 
 
 Key job responsibilities
 
 
 Support the intra-day management of transportation capacities. This will mean you will be monitoring multiple dashboards and receiving multiple change requests from partner teams within a day. You will be expected to deploy the requested changes within the set SLA with high degree of accuracy. Therefore, you will be required to maintain a high bar on attention to detail, ensuring that all requested changes are accurately and fully completed.
 
 
 You are expected to be flexible to work in different shift structures and your schedule can include Night Shifts and Weekends.
 
 
 A day in the life
 
 
 Collect and analyze data
 
 
 Support business growth in constrained environment with innovative and automated solutions
 
 
 Work on scaling up processes at a quick pace, by identifying, implementing available tools/automation.
 
 
 Rollout best practices from other geographies/ companies to minimize end to end supply chain losses
 
 
 Utilize problem-solving and communication skills to influence business, operations and technical audiences
 
 
 Bring data driven solutions using analytical skills to contribute operations and growth in the organization
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree
 </li>
 <li>
 Experience with Microsoft Office products and applications
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in supply chain, business, engineering, finance or related technical or quantitative field, or 2+ years of advanced Microsoft Word and Excel experience
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - Q-Express Documents Transport
 
 
 Job ID: A10412212
</div>

Trans Planning Data Analyst, Supply Chain Transportation Planning, Supply Chain Transportation Planning

Revolut

<div>About Revolut
People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products &mdash; including spending, saving, investing, exchanging, travelling, and more &mdash; help our 75+ million customers get more from their money every day.
As we continue our lightning-fast growth,&zwnj; 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work&trade;. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.
About the Internship Programme
Our Internship Programme is designed for ambitious students who want to make their summer count. Over 8&ndash;10 paid weeks, you&rsquo;ll work on real projects, tackle meaningful challenges, and develop your skills alongside industry experts. It&rsquo;s an opportunity to learn, innovate, and build a solid foundation for your career.
Top performers may be offered a place on our Graduate Programme the following year, giving you the opportunity to return and continue your journey at Revolut.
About the role
Our Data Science team solves complex problems with smart, practical solutions. Data Scientists and Analysts work directly with product teams to uncover insights, guide decisions, and improve how customers experience Revolut. They do this by delivering scalable solutions that move the business forward.
We&rsquo;re looking for Data Scientist and Analyst Interns who believe no data task is too complex. You&rsquo;ll dig into databases, uncover root causes, design smart solutions, and write the code to bring them to life.
Up to shape what&rsquo;s next in finance? Let&rsquo;s get in touch.
Join us from anywhere
The Internship Programme is open to international applicants ready to relocate to one of our tech hubs in Poland, Portugal, the UAE, or the UK. We&rsquo;ll support you with visa assistance, travel costs, and accommodation (conditions apply). You&rsquo;ll be expected to spend around 3 days per week in the office (where role and location allow).
Key dates<ul><li>
Applications: open from May 2026</li><li>
Recruitment process: July&ndash;December 2026</li><li>
Programme start: June / July 2027</li></ul> 
Roles are filled on a rolling basis &mdash; apply early.
What you'll be doing<ul><li>
Taking part in a hands-on bootcamp and working on real projects across multiple teams</li><li>
Helping to build analytical tools and machine learning models (such as dashboards and ETLs) to support product launches</li><li>
Improving visibility in user sign-up flows and operational funnels</li><li>
Enhancing and maintaining data infrastructure (including ETLs and LookML) to keep data accessible and reliable</li><li>
Collaborating with teams across Operations, Growth, and Product to refine features and uncover insights</li><li>
Supporting decision-making with ad-hoc analysis (e.g., interest rate sensitivity, incentive profitability, conversion rates)</li><li>
Learning from industry leaders and staying aligned with team priorities through weekly meetings</li><li>
Managing tasks, tracking progress, and communicating key outcomes</li><li>
Sharing updates with our global teams</li><li>
Receiving regular feedback to guide your development</li></ul>
What you'll need<ul><li>
To be in your penultimate year of a bachelor&rsquo;s or master&rsquo;s degree in computer science, maths, physics, or a similar field (graduating in 2028)</li><li>
Impressive Python and SQL skills</li><li>
An interest or experience in analytics engineering, product analytics, data science, or ML engineering</li><li>
A solid foundation in maths and statistics</li><li>
A proactive, results-driven mindset</li><li>
Fluency in English</li><li>
Great communication, organisational, and problem-solving skills</li><li>
To be comfortable working in a fast-paced, diverse team environment</li><li>
Full-time availability for summer 2027</li><li>
The ability to attend a Revolut office in your country of employment at least 3 days per week (this is a hybrid role)</li></ul>
Compensation range<ul><li>
Krakow: PLN7,600 - PLN7,600 gross monthly*</li><li>
Poland: PLN7,600 - PLN7,600 gross monthly*</li><li>
Other locations: Compensation will be discussed during the interview process</li><li>Final compensation will be determined based on the candidate's qualifications, skills, and previous experience</li></ul>
Building a global financial super app isn&rsquo;t enough. Our Revoluters are a priority, and that&rsquo;s why in 2021 we launched our inaugural D&amp;I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We&rsquo;re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That&rsquo;s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.
Important notice for candidates:
Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles.<ul><li>Only apply through official Revolut channels. We don&rsquo;t use any third-party services or platforms for our recruitment.</li><li>Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.</li></ul>
We won't ask for payment or personal financial information during the hiring process. If anyone does ask you for this, it&rsquo;s a scam. Report it immediately.
By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice</div>

Internship Programme 2027: Data Scientist and Analyst

Rentanythings FZ LLC

Job Title: Junior Finance Analyst Location: Business Bay, Dubai Employment Type: Full-Time (On-site)About the RoleWe are seeking a highly detail-oriented, analytical, and responsible Junior Finance Analyst to join our team full-time at Verde in Business Bay, Dubai.This role is suited for candidates with practical accounting and finance experience, strong organizational skills, and a solid understanding of financial operations, bookkeeping, reconciliations, and reporting. We are looking for someone who can independently manage day-to-day accounting responsibilities with accuracy, professionalism, and accountability.This is not an entry-level role for fresh graduates without practical experience. Applicants must have a minimum of 1 to 2 years of relevant accounting or finance experience and demonstrate hands-on exposure to accounting operations, reporting, reconciliations, and financial documentation.Key Responsibilities<ul><li>Manage and maintain accurate financial records, bookkeeping, and accounting documentation.</li><li>Handle day-to-day accounting transactions including accounts payable, accounts receivable, invoices, reconciliations, and payment tracking.</li><li>Perform monthly bank reconciliations, expense tracking, and ledger maintenance.</li><li>Support monthly, quarterly, and annual financial reporting processes.</li><li>Prepare financial reports, reconciliations, and supporting documentation for management review.</li><li>Monitor operational expenses and maintain proper financial documentation and filing systems.</li><li>Support VAT documentation, reconciliations, and compliance requirements in line with UAE regulations.</li><li>Coordinate with vendors, suppliers, and internal teams regarding invoices, payments, and financial documentation.</li><li>Assist with payroll support, financial forecasting inputs, budgeting coordination, and cash flow monitoring where required.</li><li>Ensure financial data accuracy and compliance with internal financial controls and company procedures.</li><li>Maintain confidentiality and integrity of financial information at all times.</li></ul>Requirements<ul><li>Minimum 1 to 2 years of proven work experience in Accounting or Finance is mandatory.</li><li>Bachelor&rsquo;s degree in Accounting, Finance, Commerce, or a related field is required.</li><li>Professional certifications are strongly preferred (such as bookkeeping, accounting, finance, Excel, VAT, or recognized finance/accounting certifications).</li><li>Candidates with ongoing or completed certifications such as ACCA, CMA, CPA, CFA (foundation/intermediate level), IFRS certifications, VAT certification, or bookkeeping/accounting certifications will be prioritized.</li><li>Strong understanding of accounting principles, reconciliations, bookkeeping, financial reporting, and financial controls.</li><li>Practical experience with Microsoft Excel (including formulas, reporting, reconciliations, and financial tracking).</li><li>Experience using accounting software or ERP systems is required.</li><li>Strong attention to detail, accuracy, and organizational skills.</li><li>Ability to work independently, manage deadlines, and handle financial data responsibly.</li><li>Strong analytical, communication, and problem-solving skills.</li><li>Professionalism, accountability, and confidentiality are essential.</li><li>Familiarity with UAE VAT regulations, invoicing systems, and financial reporting standards.</li><li>Experience supporting multiple entities, cost tracking, budgeting, or operational finance functions is advantageous.</li></ul>Employment Benefits<ul><li>Employment Visa</li><li>Health Insurance</li><li>Daily Staff Lunch</li></ul>Important Notes<ul><li>This is a full-time, on-site employment opportunity based in Dubai.</li><li>Freelance-only applicants will not be considered.</li><li>Candidates must have practical, hands-on accounting experience and be comfortable independently handling finance and accounting responsibilities.</li><li>Applications that do not meet the minimum experience and qualification requirements will not be considered.</li><li>Candidate must be in UAE and available for interview.</li></ul>Pay: AED3,500.00 - AED4,000.00 per monthLocation:<ul><li>Dubai (Required)</li></ul>Work Location: In person

Financial Analyst

The Cigna Group

<div>Data Science Senior Analyst
Job Objective
We are seeking a data-driven and analytically minded professional to join the Data Science and AI Engineering team within International Health, Cigna Healthcare. Our team designs and delivers high-impact descriptive and predictive analytics and agentic AI solutions to address complex challenges across global and local healthcare markets.
This role is primarily focused on the UAE, with occasional regional coverage across the Middle East. It delivers advanced data analytics and agentic AI-enabled solutions across healthcare domains &ndash; including provider services, clinical operations, healthcare network, and payment integrity &ndash; to generate insights that are clinically relevant, operationally actionable, and aligned with value-based care outcomes. In close partnership with peers across the Technology organization, the role is accountable for development and deployment of agentic AI and machine-learning systems, ensuring adherence to data privacy, data residency, and ethical AI standard.
This is an opportunity for a strong data scientist professional to demonstrate deep technical expertise and business acumen by translating complex data into actionable insights and scalable data products that drive measurable value for health insurance stakeholders.
Job Responsibilities<ul><li>
Partner with Product Owners and domain stakeholders to understand business and provider-related challenges, and recommend appropriate analytical approaches</li><li>
Support the design and implementation of predictive and prescriptive analytics, including models that inform provider engagement strategies, optimize healthcare networks, improve care delivery outcomes, and strength payment integrity</li><li>
Operate effectively within an agile operating model, collaborating in cross-functional squads, contributing to sprint planning, backlog refinement, and iterative delivery of analytics and data products</li><li>
Contribute to the responsible application of Agentic AI by designing, building, and maintaining domain‑aligned knowledge bases that enable Retrieval‑Augmented Generation (RAG), agent‑assisted analytics, and high‑quality, explainable insight generation.</li><li>
Design, curate, and maintain high-quality provider datasets by identifying and managing critical data elements (CDEs), ensuring data completeness, accuracy, consistency, and fitness for advanced analytics and AI-driven use cases</li><li>
Track, quantify, and communicate the business value and impact generated by deployed analytics and AI-enabled data products</li><li>
Work with Data Engineering and Cloud Engineering teams to stay aligned on data ingestion, enrichment, and availability, leveraging both first- and third-party healthcare and provider data</li><li>
Collaborate with Data Governance and AI Governance teams to ensure compliance with UAE data protection and AI governance requirements, including data privacy, data residency, and responsible AI principles, drawing on hands‑on experience delivering analytics or AI solutions in regulated environments</li></ul>
Requirements<ul><li>
Tertiary education in Data Science, Statistics, Computer Science, Engineering, or related disciplines</li><li>
Knowledge of International Classification of Diseases (ICD) and its application within healthcare and health insurance analytics</li><li>
Hands-on experience with Python for data analysis and modeling</li><li>
Experience working with SQL and NoSQL databases</li><li>
Experience in cloud-based data and analytics platforms, preferably Amazon Web Services (AWS) and Databricks, including services such as SageMaker, Athena, or equivalent</li><li>
Good understanding of Foundation Models, including their capabilities, limitations, risk considerations, and appropriate enterprise usage patterns</li><li>
Hands-on experience with prompt engineering and agent engineering, supporting analytics workflows, RAG-based solutions, insight generation, or decision-support use cases</li><li>
Solid knowledge of UAE AI governance and data protection frameworks, with practical experience applying responsible AI principles such as data governance, transparency, risk management, and human‑in‑the‑loop oversight, across analytics or AI initiatives</li><li>
Strong communication skills in English, with the ability to translate analytical and AI-driven insights into clear, business-relevant narratives; additional languages are an advantage</li></ul>
About Cigna Healthcare
Cigna Healthcare, a division of The Cigna Group, is an advocate for better health through every stage of life. We guide our customers through the health care system, empowering them with the information and insight they need to make the best choices for improving their health and vitality. Join us in driving growth and improving lives.
Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.
If you require reasonable accommodation in completing the online application process, please email: SeeYourselfEMEA@cigna.com for support. Do not email SeeYourselfEMEA@cigna.com for an update on your application or to provide your resume as you will not receive a response.</div>

Data Scientist Senior Analyst

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