Chalhoub Group Launches Athleta Online in the UAE and Saudi Arabia
Nov 10, 2026
Chalhoub Group is hiring an Analyst in Data and Analytics in Dubai. Chalhoub Group has been shaping luxury and lifestyle experiences in the Middle East for over seven decades, spanning fashion, beauty, jewellery, watches, eyewear and lifestyle categories. The group sells through hundreds of stores, e-commerce sites and apps across the region, which generates a large volume of data on customers, products, stores and channels, and analytics teams turn that data into insight that shapes commercial decisions.
As an analyst, you will typically work with data from sales, customer, CRM, inventory and digital sources to answer business questions. That might mean building and maintaining dashboards for commercial teams, analysing customer segments and purchasing behaviour, evaluating the performance of campaigns or promotions, tracking store and online KPIs, and supporting more advanced work such as forecasting or customer modelling alongside data scientists. Data quality matters, so validating sources and making sure numbers reconcile is part of the job.
The role usually involves close collaboration with business stakeholders in brands, marketing, retail operations and e-commerce. A good analyst does more than produce reports: they understand what the business is trying to achieve, ask the right questions, and explain findings clearly to people who are not data specialists. Expect to use SQL and a BI tool regularly, with Python or R helpful for deeper analysis.
The posting also references the group’s commitment to empowering UAE Nationals and building local talent. The role suits an analytical professional with solid technical skills, curiosity about consumer behaviour and an interest in how retail and luxury businesses use data to compete.
In a multi-brand, omnichannel retail business, good data analysis improves decisions across buying, pricing, marketing, inventory and store operations. An analyst who builds reliable dashboards gives teams a shared, trusted view of performance, cutting the time spent debating numbers and increasing the time spent acting on them. Customer analytics helps marketing teams target the right clients with the right offers, improving campaign returns and retention. Analysis of product and inventory data helps reduce overstock and stockouts, protecting both margin and sales. Evaluating promotions and campaigns rigorously ensures marketing budgets are spent where they work. For luxury and premium brands, understanding high-value clients and their behaviour is particularly important, since a relatively small group of customers can drive a large share of revenue. By connecting data across stores and digital channels, the analytics team supports Chalhoub Group's omnichannel strategy and helps it compete in a fast-changing regional market. Reliable data also lays the groundwork for more advanced AI and data science work.
Data and analytics roles in retail offer an excellent blend of technical work and commercial impact, and Chalhoub Group's breadth of brands and channels gives you rich, varied data to work with. You will develop strong skills in SQL, BI tools and analysis, alongside the business understanding that makes an analyst genuinely valuable: how retail and luxury businesses make money, what drives customer behaviour, and how decisions are made across functions. That combination is in demand across retail, e-commerce, consulting and technology companies throughout the region. Working closely with stakeholders builds your communication and influencing skills, which are often what distinguish senior analysts and analytics leaders. Over time, this kind of role can lead to senior analyst, analytics lead or analytics manager positions, or toward specialisation in data science, customer analytics, pricing analytics or data engineering, depending on your interests. Chalhoub Group's scale and investment in digital capabilities also mean exposure to modern data platforms and practices. The group's commitment to developing UAE National talent adds further opportunities for growth and mentoring for eligible candidates. For an analytical professional who enjoys solving real business problems with data, this role offers both the technical depth and the commercial context needed to build a strong long-term career in analytics.
Consider including these terms in your resume for this role:
Walk me through how you would build a dashboard for a brand manager who wants to track weekly performance.
Requirements gathering, KPI selection, data validation, design for the user
How would you investigate a sudden drop in online conversion?
Structured breakdown: traffic, device, funnel step, tracking issues
Write or describe a SQL query to find the top customers by spend over the last year.
Technical competence, joins, aggregation, date filtering
How do you check that your numbers are correct before sharing them?
Reconciliation, cross-checks, sanity tests
Tell me about an analysis that changed a business decision.
Impact, communication, influence
How would you segment luxury customers, and what would you do with the segments?
Practical segmentation approaches, actionable outcomes
How do you explain a statistical finding to someone without a data background?
Clarity, plain language, focus on implications
Nov 10, 2026
Sep 13, 2026
Aug 23, 2026