15 okt 2026
Data Analyst (HR Analytics) - temporary
| Branche | Zie onder |
| Dienstverband | Zie onder |
| Uren | Zie onder |
| Locatie | Amersfoort |
| Opleidingsniveau | HBO / bachelor |
| Contactpersoon |
Ingrid Leenders |
Informatie
What are you going to do?
- Gather stakeholder requirements and independently build, test, and maintain the People Dashboard in Power BI;
- Coordinate dashboard releases, including KPI definitions, user acceptance testing, and stakeholder communications;
- Translate HR business challenges into analytical questions to conduct ad hoc research and deliver actionable insights;
- Supervise and coach interns contributing to dashboard development to ensure technical quality and alignment;
- Design and facilitate an inspiration session to improve data-driven decision-making capabilities within the HR community.
Omschrijving
What are you going to do?
- Gather stakeholder requirements and independently build, test, and maintain the People Dashboard in Power BI;
- Coordinate dashboard releases, including KPI definitions, user acceptance testing, and stakeholder communications;
- Translate HR business challenges into analytical questions to conduct ad hoc research and deliver actionable insights;
- Supervise and coach interns contributing to dashboard development to ensure technical quality and alignment;
- Design and facilitate an inspiration session to improve data-driven decision-making capabilities within the HR community.
Functie eisen
What do you biring?
- Develop and maintain the People Dashboard by gathering stakeholder requirements, defining KPIs, and building robust Power BI solutions;
- Translate complex business questions into structured data queries and conduct thorough analyses to provide actionable insights for HR decision-making;
- Ensure data quality and consistency by validating outputs and maintaining clear documentation for all analytical projects;
- Design and facilitate an inspiration session to improve HR colleagues' data literacy and their ability to interpret people metrics;
- Guide and supervise supporting staff, such as interns, while collaborating effectively with the broader People Analytics and data engineering teams.
Experience in Python is considered a big plus.
