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Harnham

Harnham

via Indeed

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Staff Data Analyst, Product Analytics

Anywhere
full-time
Posted 9/18/2025
Verified Source
Key Skills:
Product Analytics
SQL
Python or R
Statistical Analysis
A/B Testing
ELT Data Modeling
BI Tools (Looker, Omni, Hashboard)
Executive Communication

Compensation

Salary Range

$200K - 240K a year

Responsibilities

Leverage data to shape product strategy, optimize user experience, design and analyze experiments, build analytics tools, and partner with cross-functional teams.

Requirements

7+ years in product analytics at high-growth tech companies with expert SQL, Python/R, A/B testing, ELT modeling, BI tool experience, and strong executive communication.

Full Description

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.

This job posting was last updated on 9/20/2025

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