People Analytics & Rewards Specialist

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 Your profile Experience & Education 0–3 years of experience in data, analytics, business, IT, or a related field Relevant education (e.g. HR, business analytics, economics, psychology, data-related studies) Experience with Excel and/or data tools is a strong must (advanced Excel, Power BI, SQL, Python, etc.) Skills & Strengths Strong interest in data and analytics — you enjoy working with numbers and patterns Fast learner who picks up systems, concepts, and tools quickly Structured and detail-oriented Comfortable working with both HR and technical topics Able to explain data in a clear and simple way Mindset Curious and eager to develop yourself Not afraid to ask questions or try new tools Interested in how technology and AI are changing HR Takes ownership and follows through What You’ll Learn in This Role How compensation and benefits decisions are made using data How HR systems support scalable HR processes How to translate business and HR questions into analytics How AI and automation can responsibly improve HR work How to work with senior stakeholders using insight, not intuition Why LOGEX? An excellent compensation package (salary, holiday allowance, NS Business Card, phone and internet allowance) 25 vacation days (based on full-time employment) to recharge, with the option to purchase additional days An informal working environment with motivated colleagues The possibility to work in a hybrid setup A laptop and everything you need to set up a comfortable and ergonomic home office Personal and professional development opportunities through our LOGEX Academy Access to our mental health partner, OpenUp Regular after-work drinks and many more social events Contact us! You can apply via the button below and upload your CV. For more information, or in case you have any questions, you can contact Wesley Schreuder at [email protected] Our company is dedicated to building a workplace that promotes equity, diversity, and inclusion, and we believe that a diverse workforce is essential to our success. As we strive to create a workplace where everyone feels valued and respected, regardless of their race, gender, sexual orientation, age, religion, or any other characteristic, we encourage everyone to apply.