AI

Analyst – Data & Analytics – Chalhoub Group

Chalhoub Group
Dubai Full-time

Applications close Dec 8, 2026

Job Description

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.

Impact of the Job

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.

Job Seeker Benefit

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.

Suggested Resume Keywords

Consider including these terms in your resume for this role:

data analystdata and analyticsbusiness intelligenceSQLPower BITableauPythoncustomer analyticsretail analyticsdashboard developmentKPI reportingcampaign analysisdata qualityomnichannel retailsegmentation

Requirements

  • Bachelor’s degree in data science, statistics, mathematics, computer science, economics, business analytics or a related field
  • Experience in data analysis or business intelligence, ideally in retail, e-commerce or consumer businesses
  • Strong SQL skills and experience working with large datasets
  • Hands-on experience with BI tools such as Power BI, Tableau or Looker
  • Working knowledge of Python or R for analysis is an advantage
  • Understanding of retail and customer KPIs such as conversion, basket size, retention and lifetime value
  • Ability to translate business questions into analysis and present findings clearly
  • Strong attention to detail and commitment to data quality
  • Good communication skills in English; Arabic is an advantage

Interview Questions to Prepare For

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

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