Collaborate with Product, Engineering, Go-to-Market, and Post-Sales leadership to solve critical business questions through data-driven analysis.

Conduct in-depth search analyses and statistical modeling to uncover user trends, predict outcomes, and identify growth opportunities.

Design and monitor core performance dashboards to track product health, user engagement, and key business results.

Build and maintain scalable SQL/Python pipelines to aggregate and enrich data, ensuring high quality and investigative excellence.

Translate findings into actionable recommendations for various audiences while contributing to team infrastructure and investigative standards.

Bachelor's degree or equivalent practical experience.

6 years of experience in product research in an applied research setting, or similar.

4 years of experience in data analysis, data science, product analytics, or a related role.

Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, MATLAB, C++, Java, or Go).

Experience extracting and manipulating data from relational databases using SQL.