Senior Analytics Leader - Product Metrics & Strategy

DataJobs

Kirkland (WA)

On-site

USD 222,000 - 308,000

Full time

6 days ago
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Benefits offered by this job

Health, dental, vision insurance
401(k) with company match
Vacation days policy

Job summary

Google seeks a senior analytics leader for the Analytics and Reporting team within Data Cloud. This onsite Kirkland, WA role defines product success metrics, analyzes key metrics, and supports Data Cloud strategy with high-quality execution.

You will lead analytics across Data Cloud, craft portfolio strategy, and ensure metric-driven execution drives product outcomes. Strong leadership and data-driven decision-making are essential.

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 15 years of experience in management consulting, product management and strategy, or analytics in a technology company.
  • 12 years of experience using analytics to solve product or business problems, including performing statistical analysis and coding.

Responsibilities

  • Define, own, and continuously evolve product success metrics.
  • Report, analyze, and forecast trends in key product metrics, then make recommendations.
  • Provide thought leadership to define, analyze, and validate metrics and hypotheses.
  • Work with large data sets and develop scalable solutions.
  • Solve non-routine interdisciplinary analytics problems with advanced methods.
  • Lead end-to-end analysis work to support strategic needs.
  • Develop experimentation frameworks to increase investment velocity.

Skills

Leadership
Stakeholder communication
Strategic thinking

Education

Bachelor's degree or equivalent practical experience

Tools

R
SQL
Spreadsheets

Job description

Google seeks a senior analytics leader for the Analytics and Reporting team within Data Cloud. This onsite Kirkland, WA role defines product success metrics, analyzes key metrics, and supports Data Cloud strategy with high-quality execution.

You will lead analytics across Data Cloud, craft portfolio strategy, and ensure metric-driven execution drives product outcomes. Strong leadership and data-driven decision-making are essential.

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