Sr Analyst Total Rewards

5 days ago


Dubai, Dubai, United Arab Emirates Delivery Hero Full time

Role Summary

The Total Rewards Sr. Analyst will play a key role in the Total Rewards function, leading the development & implementation of advanced analytics & reporting solutions within Total Rewards. This role will create, manage, and maintain Rewards Analytical dashboards, conduct data analysis and reporting using confidential information within People, ensuring alignment with Talabat's strategic business goals focusing on compensation design, cost modeling, equity, and tracking fair pay and D&I efforts. Additionally, the Senior Analyst will assist in bonus and incentive plan analysis and support the implementation of new reward systems as needed.

What's On Your Plate

  • Analytics & Reporting:

    • Dashboard and Reporting:

      • Lead the creation, management, and maintenance of Total Rewards analytical dashboards to track key metrics.

      • Provide regular analysis, research & run needed simulations to support the execution of total rewards projects & processes while implementing solutions that align with business direction.

    • Data Visualization:

      • Demonstrate expertise in data visualization, presenting complex data in clear actionable formats.

      • Apply visualization best practices to ensure the clarity and accuracy of the information presented.

      • Able to use tools like Tableau, Looker, Google Data Studio, or similar to create visual reports that support strategic planning and decision-making.

  • Compensation & Salary Benchmarking:

    • Conduct salary benchmarking exercises to ensure internal equity and competitive external positioning for base pay, bonuses, incentives, and long-term incentives (LTIs).

    • Analyze market trends and compensation structures to inform salary positioning and pay strategy.

  • Salary Structure Design:

    Develop and maintain salary structures that support internal equity and external market competitiveness considering factors such as salary progression, skills-based premiums, and performance-related pay for all comp components (base, bonus, sales incentives, LTIs).

  • Cost Modeling & Budgeting:

    • Provide costing & modeling capability for the annual budgeting cycle, Pay Review cycles, and off-cycle solutions.

    • Partner with cross-functional stakeholders (Finance, HR teams) on cost modeling activities.

    • Benefit Modeling & Costing (Good to Have): Analyze market trends and areas of improvement for Benefits offering and develop modeling solutions.

  • Bonus & Incentive Plans:

    • Assist in bonus and incentive plan analysis.

    • Support the calculation and payout of management bonuses, ensuring accuracy and fairness in the process.

  • Collaboration & Stakeholder Management:

    • Collaborate & partner with the Rewards team to support the planning, design, and execution of compensation and rewards initiatives including the Year-end salary review process.

    • Cross-Functional Collaboration: Collaborate closely with key stakeholders including HR Business Partners, Analytics team, Payroll team, Finance team, and build strong relationships with internal stakeholders in order to offer and receive assistance where necessary.

Project Management:

  • Own and lead assigned projects from end to end while collaborating and working with other functions/working groups where required.

  • Work with the People Rewards team on a variety of projects.

Annual Compensation Survey Participation: Experience with participating in annual compensation surveys by collecting & submitting company compensation data.

Qualifications:

What Did We Order

Experience:

  • A minimum of 3-5 years experience in HR Analytics, Compensation & Benefits, or Rewards Consulting is preferred.

  • Experience in analyzing and presenting compensation data using advanced data analysis and visualization tools.

Skills & Expertise:

  • Strong knowledge of analytics tools like Excel, Google Sheets, Tableau, Power BI, etc.

  • Good to have experience with advanced analytics techniques such as regression, forecasting, adjusted analysis.

  • Stakeholder management and project management and collaboration.

  • Presenting outcomes through presentation summary and pitch.

  • Ability to influence stakeholders with a data-driven approach.

  • Self-Management:

    • Independent, data-driven, a self-starter, and a natural ability to lead & collaborate with the project team.

    • Confident in their technical proficiency and able to share their thoughts openly as well as coach colleagues.

  • Adaptability & Efficiency:

    • Comfortable working in a constantly changing environment, managing multiple tasks and meeting tight deadlines.

    • High attention to detail and the ability to manage and organize data from multiple sources for rewards-related projects.

Remote Work:

No

Employment Type:

Full-time

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