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Data Analyst, Product Analytics San Jose, CA

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: Harnham
Full Time position
Listed on 2026-01-23
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 200000 - 240000 USD Yearly USD 200000.00 240000.00 YEAR
Job Description & How to Apply Below
Position: Staff Data Analyst, Product Analytics at Harnham San Jose, CA

Staff Data Analyst, Product Analytics job  Jose, CA.

Staff Product Analyst

Location:

San Francisco (Remote Eligible) Salary: $200K–$240K base + Equity

We’re hiring a Staff Product Analyst for a hyper-growth, Series E AI company valued at $3B+. This is an opportunity to play a key role in shaping product strategy and growth by leveraging data to drive decisions, optimize user experiences, and unlock new opportunities.

What You’ll Do
  • Shape product strategy with data-driven insights – Define key metrics, track user behavior, and identify trends that impact engagement and retention.
  • Deep-dive into user journeys – Uncover friction points and growth levers to enhance adoption, conversion, and retention.
  • Optimize experimentation and A/B testing – Design and analyze tests to improve product features, pricing, and personalization strategies.
  • Develop self-service analytics tools – Build dashboards and automated reporting to empower teams with real-time data.
  • Partner with Product, Engineering & Leadership – Translate complex data into clear, actionable recommendations to improve product performance and business outcomes.
What We’re Looking For
  • 7+ years of experience in Product Analytics, preferably within high-growth tech companies.
  • Expert SQL skills and experience working with large-scale product datasets.
  • Proficiency in Python or R, with a strong foundation in statistical analysis and experimentation.
  • Hands-on experience with A/B testing methodologies and user segmentation.
  • Experience with ELT data modeling and BI tools like Looker, Omni, or Hashboard.
  • Strong executive communication skills, with the ability to influence product decisions through data.
  • Thrives in a fast-paced, high-impact environment, with a passion for uncovering insights that drive product growth.
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