Minimum qualifications:
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years work experience plus a Master's degree).
Preferred qualifications:
- Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
- Experience translating product and business questions into clearly framed investigative projects, extracting and manipulating large datasets, and applying statistical methods.
- Knowledge of data, metrics, analysis, trends, measurement, statistics and program evaluation, with the ability to solve large, complex problems.
- Ability to present to executives and communicate effectively with highly technical leadership teams.
- Ability to manage multiple assignments simultaneously in a fluid environment.
Responsibilities
- Work with large, complex internal data sets, solve difficult, non-routine analysis problems, applying advanced investigative methods as needed.
- Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables and presentations.
- Work with stakeholders in Product Management, Engineering and Operation teams to define performance goals, Key Performance Indicators (KPI) and other success measurements.
- Develop, own and evolve investigative frameworks providing source of truth measures for the organization.
- Conduct deep dives revealing opportunities and risks, enabling the team to understand trends and prioritize resources.