Senior Data Analyst (Product)

Posted 3 days agoViewed

💎 Seniority level: Senior, 3+ years

📍 Location: Germany, United Kingdom, Poland, Spain, Netherlands, Berlin time, UTC+1

🔍 Industry: Outdoor adventure and exploration

⏳ Experience: 3+ years

🪄 Skills: PythonSQLData AnalysisPandasData visualizationData modelingA/B testing

3+ years of experience with product analytics, including funnel analysis, cohort analysis, retention analysis, and A/B testing.
Excellent SQL skills and comfort working with a cloud data warehouse (e.g. Redshift, Snowflake, BigQuery).
Proficiency in Python/Pandas for data analysis and familiarity with software development workflows.
Experience using dbt for data transformation and modeling (good to have).
Good grasp of statistical concepts and their application to real-world scenarios.
Effective communication skills for data topics and analysis results.
Deep understanding of data quality and reliability.
Ability to understand business needs and translate problems into technical solutions.
Rigorous analytical thinking and passion for finding actionable insights.
Hands-on, self-driven, and able to learn independently.
Team player, empathetic communicator, and willing to help others.

Turn data into actionable insights about users to drive product decisions.
Spot strategic opportunities in data and help shape squad roadmaps.
Design metrics to measure the success of key features.
Create visualizations to highlight trends and user behavior.
Build dashboards and scheduled reports to monitor product KPIs.
Design new events to track product features and provide data quality checks for client teams.
Design and analyze experiments to validate product hypotheses.
Contribute towards trusted data transformation models in dbt.
Organize and prioritize tasks of the data analytics roadmap.