Sr Analyst Total Rewards

Role Summary

The Total Rewards Sr. Analyst will play a key role in the Total Rewards function, leading the development and implementation of advanced analytics and reporting solutions. This includes working on functional activities such as the annual compensation cycle, creating salary benchmarks, and designing compensation structures.

This role will manage and maintain Rewards Analytical dashboards, conduct data analysis and reporting using confidential information, and ensure 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:

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

  • Provide regular analysis, research, and run simulations to support the execution of total rewards projects and 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 clarity and accuracy of the information presented.

  • Utilize 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 and 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.

  • Analyze market trends and areas of improvement for Benefits offerings and develop modeling solutions (good to have).

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

  • Work closely with key stakeholders including HR Business Partners, Analytics team, Payroll team, and Finance team to build strong relationships and offer assistance as necessary.

• Project Management:

  • Own and lead assigned projects from end to end, collaborating 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 and submitting company compensation data.

Qualifications:

What Did We Order

Experience:

• A minimum of 3-5 years of 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, and adjusted analysis.

• Stakeholder management, project management, and collaboration skills.

• Ability to present outcomes through presentations, summaries, and pitches.

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

• Self-Management:

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

  • Confident in technical proficiency and able to share 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