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About the Role
This full-time position reports to the Google San Francisco, CA office and may allow for a hybrid schedule as per Google policy. The US base salary range is $206,600 - $237,000+ 15% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google [https://www.google.com/about/careers/applications/benefits/].
Responsibilities
- Extract, format, and validate complex datasets from multiple sources to guarantee quality and analysis readiness.
- Execute advanced analyses utilizing SQL, R, and Python to resolve ambiguous problems and deliver optimal solutions.
- Report Key Performance Indicators to leadership and translate analytical results into actionable product improvement insights.
- Prototype scalable business cases and build robust processes with the foresight to anticipate future challenges.
- Master internal data structures and metrics to effectively advocate for impactful product development changes.
- Influence cross-functional teams to align strategic resources while providing oversight and setting standards for data scientists.
Requirements
- 3 years of experience in coding in SQL, Python, or R to manipulate, analyze, visualize large datasets, and build models.
- 3 years of experience in statistical analysis or quantitative data synthesis to draw inferences, identify trends, and solve product or business problems.
- 3 years of experience in user experience measurement or attribution modeling to evaluate customer interactions.
- 3 years of experience in product analytics or business intelligence to define metrics, create dashboards, and measure success.
- 3 years of experience in stakeholder management or cross-functional collaboration to align objectives, gather consensus, and persuade leaders.
Skills
- SQL
- Python
- R
- Statistical analysis
- Quantitative data synthesis
- User experience measurement
- Attribution modeling
- Product analytics
- Business intelligence
- Stakeholder management
- Cross-functional collaboration
Location
- San Francisco, CA
Work Type
- Full-time
- Hybrid
Experience Level
- 6 years of progressive post-baccalaureate experience
- 3 years of experience
Education Level
- Bachelor’s degree in Data Science, Statistics, Mathematics, Physics, Economics, Operations Research or a related field
- Master’s degree in Data Science, Statistics, Mathematics, Physics, Economics, Operations Research or a related field
Salary/Compensations
- $206,600 - $237,000+
Benefits
- 15% bonus target
- Equity
- Benefits determined by role, level, and location