Role Overview
As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You’ll make critical recommendations for your fellow Googlers in Engineering and Product Management.
What You Will Do
Lead the research and development of metric frameworks and methodologies to evaluate the effectiveness, user adoption, and efficiency of Generative AI and agentic tooling within Workspace products. Partner with product engineering and central data infrastructure teams across the organization to clarify ambiguity, define roles, and manage multi-team telemetry and infrastructure projects from inception to execution.
Why It Might Be a Fit
Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $192000 – $278000 (USD) + 20% bonus target + equity + benefits.
Requirements
- Bachelor’s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 8 years work experience with a Master’s degree).
- 8 years of experience with core product analytics concepts, including user engagement metrics, funnel analysis, and A/B testing infrastructure.
- 8 years of experience in data modeling, designing semantic layers and metric stores that power organizational consumption.
- Experience operating distributed data processing engines.
Benefits
- 20% bonus target
- equity
- benefits
To apply for this job please visit www.google.com.
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