What You’ll Do

• Define, report, and monitor key performance indicators of product areas, and lead deep dives into variations of critical metrics from normal behavior
• Use Python and write SQL queries to improve data pipeline and generate reports
• Build data visualizations using Metabase and Jupyter notebooks as a method of conveying data insights
• Help engineering teams set up tests and perform statistical analysis of experiments
• Convert analytical insights into concrete, meaningful recommendations for business or product improvement, and succinctly communicate these findings to various partners and leadership

Who You Are

• 5+ years experience in analytics, consumer-facing product experience preferred
• Experienced statistician with a track record of setting up and optimizing metrics tracking systems and A/B testing methodologies
• Experience with building and maintaining data pipelines, ensuring data integrity
• Proficient at both SQL and Python
• A track record of leading cross-functional initiatives

Bonus points!

• Experience with DAG orchestrators (eg. Airflow)
• Consumer-facing product experience

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.