Summary
Al-Futtaim is hiring a Total Rewards Analyst in Dubai to support its Total Rewards Team with analytics, digital tools, and policy and process improvements. The role includes developing dashboards and automated workflows, analyzing pay equity and market data, supporting salary structures and HR policy implementation, and contributing to job evaluation and business integration work. Applicants need a relevant bachelor’s degree, 5+ years of progressive experience in Rewards or HR, and familiarity with HRIS/HCM platforms and HR analytics tools. No salary or visa conditions are stated.
The posting
As published on alfuttaim.com. Pulled from the employer's site and shown as they wrote it.
Job Requisition ID: 182032
About Al-Futtaim
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.
Total Rewards Process and Policy Support
- Provide data-driven recommendations on salary increases, promotions, and recruitment proposals.
- Maintain and propose salary structures using automated benchmarking tools.
- Ensure compliance with statutory and legal requirements across countries for AFG Total Rewards policies.
Organizational Design and Integration
- Support organizational design initiatives using HAY methodology for job evaluation.
- Assist with Total Rewards integration during business acquisitions and mergers using data migration tools.
- Drive ad hoc digital transformation and process improvement projects in the Total Rewards function.
Required Skills To Be Successful:
- Advanced Excel skills including complex formulas and macros (VBA).
- Proficiency in data visualization tools like Power BI and Tableau.
- Excellent analytical and problem-solving skills.
- Ability to synthesize information and data from multiple sources.
What Qualifies You For The Role:
- Bachelor's degree in Human Resources, Business, Finance, Data Analytics, or related field required.
- 5+ years of progressive professional experience in Rewards or HR.
- Working knowledge of HRIS/HCM platforms like SAP SuccessFactors or Workday and HR analytics tools.
- Familiarity with AI/automation tools in HR, such as People Analytics, RPA, and generative AI applications.
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