Bi Analyst jobs in United Arab Emirates

Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive privately held regional businesses headquartered in Dubai, United Arab Emirates. Structured into five operating divisions – automotive, financial services, real estate, retail and healthcare – the Group employs more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa. Al-Futtaim Group partners with over 200 of the world’s most admired and innovative brands, and its entrepreneurship and relentless customer focus enable continual growth and expansion while responding to changing customer needs.

By upholding our values of respect, excellence, collaboration and integrity, Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day.

We are seeking a Business Intelligence (BI) Analyst for our Digital Retail team at Al-Futtaim Retail. In this role you will drive data-informed decisions by creating dashboards, automating reporting processes, and turning data into practical insights that shape our strategies and boost performance. The right candidate will possess strong analytical skills paired with solid business acumen.

• Design and maintain interactive dashboards in Microsoft Power BI to track performance across eCommerce and omnichannel operations.
• Write complex SQL to fetch tables and create Data Analysis Expressions (DAX) calculations, leveraging Azure Databricks and Google BigQuery for large‑scale data analysis and visualization.
• Build and manage data models, automation workflows, and ETL processes to streamline data flows and reporting.
• Integrate online (web/app) and offline (store) data to deliver a unified business view, analyzing sales, stock, pricing and marketing campaign data to uncover key performance drivers and growth opportunities.
• Conduct statistical and regression analysis for demand forecasting, sell‑through improvement and inventory optimization.
• Work with SQL Server, GBQ and integrations such as Google Analytics 4 (GA4) and Funnel/Branch for data ingestion and validation.
• Ensure data governance, accuracy and reliability across all dashboards and reports.
• Translate analytical results into business narratives, visual insights and actionable recommendations.
• Collaborate with eCommerce, CRM, Planning and Finance teams to define business‑critical KPIs and automate reporting processes.
• Support A/B testing and performance tracking to measure the impact of marketing and business decisions.
• Anticipate data and analytics needs across teams and design scalable data solutions to meet future demands.

• Advanced knowledge of SQL, R and Python for data processing, modeling and automation.
• Experience with data mining, predictive analytics and statistical modeling to generate actionable insights, including Holt‑Winters, XG‑Boost, SARIMA and Deep LSTM.
• Proficiency in Microsoft Power BI for dashboard creation, storytelling and self‑serve analytics.
• Experience with cloud‑based data architectures, especially Microsoft Azure, Azure Databricks and Google BigQuery.
• Ability to perform complex queries, joins and transformations across large datasets.
• Familiarity with ETL pipelines and data automation tools for efficient reporting workflows.
• Strong focus on data quality, validation and integrity across all data layers.
• Experience with Funnel.io and Google Tag Manager.

• Ability to translate data into business recommendations that drive revenue, profitability and customer engagement.
• Expertise in identifying causal effects and correlations through experimentation.

• Exceptional ability to communicate insights through compelling narratives, visual storytelling and concise presentations.
• Experience partnering with business leaders, marketers and brand teams to translate analytical findings into strategy.
• Skilled at simplifying complex data insights for non‑technical audiences and driving data‑driven decision‑making across teams.

• 3 to 5 years of experience in Business Intelligence, Data Analytics or Digital Retail Analytics.
• Proficiency in Power BI, SQL, Python and DAX.
• Hands‑on experience with Power BI, Azure Databricks and Google BigQuery.
• Background in Retail Analytics, Digital Analytics or E‑Commerce preferred.
• Strong project management skills with the ability to manage multiple priorities effectively.
• Structured, meticulous and detail‑oriented.