People Analytics & Rewards Specialist
Job Description
Our mission
We turn data into better healthcare. With our insights, we make healthcare more affordable and better, and we improve the patients’ and clinicians’ experience.
We are looking for a curious, analytical, and ambitious professional with a strong passion for data and technology, who is eager to learn and grow in the areas of Compensation & Benefits, HR systems, people analytics, and AI in HR.
This role is ideal for someone who enjoys working with data, asks good questions, learns fast, and wants to help shape a more data-driven and future-ready HR function. You will work closely with senior HR colleagues, Finance, and IT, gradually taking on more ownership as your expertise grows.
Your impact and responsibilities
HR Data & Analytics
Support the creation and maintenance of HR dashboards, reports, and key people metrics
Help analyze workforce data (e.g. headcount, attrition, compensation, engagement) and turn it into clear insights
Learn how to translate HR questions into data and analysis
Support data quality, consistency, and documentation
Compensation & Benefits
Support salary review, benchmarking, and reward analyses
Help prepare compensation data, models, and materials
Learn job structures, grading, and pay transparency principles
Answer basic compensation and benefits questions using data and guidelines
Run annual Performance /salary increase process
Support Business with Variable Compensation plans
HR Systems (HRIS)
Support day-to-day use, reporting, and improvement of HR systems
Assist with system testing, data checks, and process documentation
Help identify opportunities to improve HR processes through better system use
Support with potential M&A integrations
Act as a first point of support for HR data and reporting questions
AI & Innovation (Learning Area)
Support experimentation with AI and automation in HR (e.g. reporting, analytics, process improvements)
Learn how AI can responsibly support HR decision-making
Help document and improve new tools and ways of working