You will be redirected to H & M Hennes & Mauritz GBC AB to apply.
Source: Arbetsformedlingen (Swedish Public Employment Service) via jobtechdev.se open data
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Job Description
Are you interested in combining compensation, data and analytics with global HR processes? We are looking for a Total Rewards Analyst to join our global Rewards team and help us develop fair, transparent and data-driven reward practices across the H&M Group.
You will be a key contributor to the successful execution of core rewards programs, partnering to the Compensation Program Leads to deliver different types of compensation data analysis and prepare market and trend reporting. In this role, you will work at the intersection of compensation, HR data, analytics and process development. You will support global reward processes, develop analytical tools and insights, and collaborate with stakeholders across sales markets and functions.
As a Total Rewards Analyst, you will also secure data governance and ways of working within the area of total rewards by driving data optimizations and creating working procedures for core systems and rewards data management. Through impactful reporting, data analysis, and visually compelling presentations, you will translate insights into stories that support decision-making, enhance transparency, and drive better reward outcomes across the organization.
WHAT YOU’LL DO
- Support core rewards programs execution through data analytics, systems set-up and preparation, reporting and insights.
- Lead Total Rewards systems and data initiatives to improve data quality, process efficiency, governance, and user experience.
- Own and maintain compensation data assets, including master files, tools, templates, inventories, and reporting structures.
- Develop, enhance, and govern the systems, data and tools used for core rewards processes, such as annual salary reviews, incentive cycles, budget planning, salary structures, and related programs.
- Perform compensation, position and employee data audits to ensure accuracy, consistency, compliance, and readiness for business and regulatory requirements.
- Analyze internal and external compensation data, market trends, and workforce insights to support rewards decision-making and program development.