People Data & Compensation Analyst

Overview

Heidelberg Materials Trading, the global trading division of Heidelberg Materials specializing in dry-bulk exports and imports, is seeking talented professionals to join their HR team at the Dubai office as a People Data & Compensation Analyst.

Key Responsibilities

• Interpret HR data to deliver strategic insights for workforce planning and organizational growth.
• Perform compensation and benefits analyses, incorporating market benchmarking and internal equity assessments to uphold competitive and fair reward systems.
• Create and upgrade HR dashboards, reports, and visual representations tracking metrics like turnover, engagement, performance, and compensation patterns.
• Assist in annual salary reviews, bonuses, and incentives by developing data models, simulations, and scenario evaluations.
• Monitor benefits usage and pinpoint trends and improvement opportunities.
• Maintain data accuracy within HRIS and analytics tools through consistent audits and quality checks.
• Work with HR Business Partners and management to provide clear, accessible reports and presentations facilitating decision-making.
• Support preparation and analysis of HR budgets and forecasts, advising on budget use and workforce expenses.
• Ensure adherence to local regulations, company policies, and internal controls during all HR analytics and reporting activities.
• Offer analytical assistance for employee questions about compensation and benefits in coordination with the HR team.

Qualifications

• Bachelor's degree in Human Resources, Business Administration, Data Science, Statistics, or related disciplines.
• At least three years of experience in HR analytics, compensation and benefits, or associated HR data roles within international corporations.
• Proficiency with HRIS platforms and analytics software such as Power BI or Tableau is required.
• Advanced Excel capabilities; familiarity with Python or other data analysis software is advantageous.
• Strong analytical thinking, meticulous attention to detail, and the ability to articulate complex data effectively.
• Excellent collaboration, presentation, and stakeholder management skills.

Additional Information

Candidates should note that only those shortlisted will be contacted for the subsequent phases of the recruitment process.