6 aug 2026
Senior Product Data Analyst - Temporary
| Branche | Zie onder |
| Dienstverband | Zie onder |
| Uren | Zie onder |
| Locatie | Utrecht |
| Opleidingsniveau | HBO / bachelor |
| Contactpersoon |
Shir Abramovich |
Informatie
- Partner with Product Managers to define and track OKRs: Ensuring product teams focus on meaningful outcomes.
- Design, own, and evolve metrics: Aligning metrics with user and business goals.
- Analyze behavioral and business data: To identify opportunities and inform product strategy.
- Translate complex findings into actionable recommendations and compelling stories: Communicating insights effectively.
- Design and execute experiments: Utilizing causal inference techniques (e.g., A/B testing, difference-in-differences) to validate hypotheses.
- Measure and explain the impact of product decisions: Continuously iterating based on performance.
- Build scalable dashboards and data models: Enabling self-serve insights for the product team.
- Ensure data quality and measurement integrity: Maintaining the reliability of data from the outset.
Omschrijving
- Partner with Product Managers to define and track OKRs: Ensuring product teams focus on meaningful outcomes.
- Design, own, and evolve metrics: Aligning metrics with user and business goals.
- Analyze behavioral and business data: To identify opportunities and inform product strategy.
- Translate complex findings into actionable recommendations and compelling stories: Communicating insights effectively.
- Design and execute experiments: Utilizing causal inference techniques (e.g., A/B testing, difference-in-differences) to validate hypotheses.
- Measure and explain the impact of product decisions: Continuously iterating based on performance.
- Build scalable dashboards and data models: Enabling self-serve insights for the product team.
- Ensure data quality and measurement integrity: Maintaining the reliability of data from the outset.
Functie eisen
- 3-4 years of relevant work experience.
- Educational background in Econometrics or Data Science.
- Experience in e-commerce or similar organizations.
- Proficiency in SQL, Git, and dbt.
- Strong understanding of statistical fundamentals.
- Experience with Python, Looker, BigQuery, Airflow, and Jupyter Notebooks.
- Knowledge of product development and the role of analytics.
- Experience with causal inference and experimentation.
