Product Data Analyst - Temporary at Independent Recruiters
3511 Utrecht, , Netherlands -
Full Time


Start Date

Immediate

Expiry Date

09 Dec, 25

Salary

7.0

Posted On

09 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Airflow, Statistics, A/B Testing, Git, Data Analysis, Python, Looker, Jira, Dbt, Sql

Industry

Information Technology/IT

Description

PRODUCT DATA ANALYST - TEMPORARY

We’re seeking a skilled Product Data Analyst to join a dynamic team for a temporary replacement role.
As a Product Data Analyst, you will play a crucial role in supporting 2-3 Product teams, providing analytical insights that drive product development. Your responsibilities will include setting and tracking OKRs, defining metrics for new and existing products, and identifying product opportunities based on existing data. You will collaborate closely with Product Managers and Designers to develop actionable insights and validate the impact of implemented solutions. This is a temporary role that will last roughly 3 months, from October 2025 to end December 2025.
Apply now and take the next step in your career!

REQUIREMENTS PRODUCT DATA ANALYST - TEMPORARY

  • Proven experience in data analysis and/or product analytics;
  • Proficiency in SQL, Git, dbt, and Statistics;
  • Familiarity with Python, Looker, Airflow, BigQuery, Jupyter Notebooks, and Jira is a big plus!;
  • Advanced analytics techniques (A/B testing, diff-in-diff, causal inference);
  • Strong stakeholder management abilities for effective cross-functional collaboration.
Responsibilities
  • Set and track OKRs in collaboration with Product Managers, creating and maintaining dashboards;
  • Define metrics for new and existing products, working closely with Product Managers and Designers;
  • Identify product opportunities using existing data, and prioritize product development based on insights;
  • Design and analyze experiments to validate the impact of implemented solutions;
  • Create and maintain data models to support the analytical needs of assigned Product teams.
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