Help serve Google's worldwide user base of more than a billion people by providing quantitative support, market understanding, and a strategic perspective to partners throughout the organization, using data to help them make better decisions and weave stories with meaningful insight.
Requirements
- 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 plus a Master's degree).
- 5 years of experience as a people manager within a technical leadership role.
- 15 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
- 6 years of experience as a people manager within a technical leadership role.
Responsibilities
- 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 and manipulation, visualization, creation, and implementation of analytical/statistical models, and presentation to stakeholders.
- Address ambiguous or new problems by using the capabilities of existing systems and collaborate to turn broad problems into work for the team.
- Set DS strategy for the organization and lead cross-functional initiatives across data engineering, strategy, and business operations that anticipate and develop the data sets, tools and processes to scale DS capabilities and efficiently drive decisions.
Other
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- Own relationship and serve as strategic partner to executive product leadership across the Health organization to ensure alignment on priorities, anticipate analytical needs, and guide strategic product and business decisions.
- Google is proud to be an equal opportunity workplace and is an affirmative action employer.
- We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
