Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Direct projects that combine analytical and organizational complexity towards clear, sound, and actionable decisions.

Own projects end-to-end, covering problem definition, metrics development, data extraction, manipulation, visualization, creation, and implementation of analytical/statistical models, and presentation to stakeholders.

Oversee the integration of cross-functional and cross-organizational project/process timelines, drive improvements and recommendations, and define operational goals and objectives.

Provide direction and accomplish results through leading/impacting the contributions of others.

Build an understanding of the data sets used by Enterprise Platforms and partner teams, collaborate with Engineering teams to identify and address instrumentation gaps, ensure accurate data collection for key functionalities, with a focus on the most impactful features.

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

13 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 10 years work experience with a Master's degree).

5 years of experience as a people manager within a technical leadership role.