Established in the 1930s, Al-Futtaim is one of the most diversified and progressive privately held regional businesses, headquartered in Dubai. Operating across more than 20 countries, the Group spans automotive, financial services, real estate, retail and health. With more than 40,000 employees, Al-Futtaim represents over 200 of the world’s most recognised brands, including Toyota, Lexus, IKEA, ACE and Marks & Spencer. Driven by its purpose to enrich lives and elevate communities, Al-Futtaim focuses on digital innovation, AI, sustainable growth and strategic partnerships, creating long-term value for customers, communities and partners while building a responsible legacy for future generations.Overview Of The Role: The Total Rewards Analyst is essential in supporting the Total Rewards Team by leveraging advanced analytics, digital tools, and AI-enabled modeling for informed decision-making. They drive efficiency through automation and digitalization, contribute to policy and project inputs, analyze market trends, and recommend process improvements. The role facilitates workflow improvements and supports benchmarking and policy application across HR processes, ensuring compliance and effective communication of changes.What You Will Do: Analytics Solutions Development  Design and deploy advanced analytics solutions, dashboards, and AI/ML-enabled predictive modelling for pay equity analysis and attrition-linked cost forecasting.Produce actionable, real-time analysis and self-service reporting dashboards using tools like Power BI or Tableau.Develop digital tools, templates, and automated workflows to facilitate the management of key Total Rewards processes.  Data Infrastructure and Governance  Build and improve digital data infrastructures and frameworks to collect and analyze data across HR systems.Support the digitally-enabled communication and implementation of Total Rewards policy changes to stakeholders.Participate in salary survey processes using digital platforms to ensure availability of current market data.

Provide data-driven recommendations on salary increases, promotions, and recruitment proposals.Maintain and propose salary structures using automated benchmarking tools.