# Data Analyst, Product

**Company:** [Sanity](https://hotfix.jobs/companies/sanity)
**Location:** San Francisco, CA
**Role:** Data Analytics
**Salary:** $180k – $240k/yr
**Experience:** 5+ years
**Skills:** SQL, Python, Data Modeling, omni, Looker, dbt, google bigquery, rudderstack, segment, cohort analysis, funnel analysis, retention analysis, Dashboarding
**Posted:** 2026-08-12

> This role analyzes product usage and behavioral data to guide roadmap decisions, define product health metrics, and improve customer adoption and retention. It requires 4+ years of analytics experience plus advanced SQL, Python, data modeling, and product analytics expertise.

## Job Description

## Responsibilities
- Partner with product managers and engineering leads to frame questions, define analytical requirements, and deliver insights that shape roadmap and investment decisions.
- Build cohort, funnel, and user journey analyses explaining customer adoption, friction points, and retention.
- Collaborate with Data Engineering and Analytics Engineering to ensure data quality, consistency, and documentation across datasets.
- Define and maintain north star and product health metrics, including activation, engagement, and retention measures.
- Develop and maintain dashboards and self-service analytics for product performance visibility.
- Communicate findings and data-backed recommendations to cross-functional stakeholders and leadership.
- Manage ad hoc and planned analytical work while balancing competing priorities and communicating timelines.
- Improve analytical workflows, data models, and reporting standards.

## Requirements
- Based in San Francisco; the team works from the San Francisco office 2–3 times per week.
- Ability to work an early schedule, beginning around 5 a.m., to overlap with European partners.
- 4+ years of experience in data analytics, business intelligence, or a highly analytical role.
- Hands-on experience with product usage data, behavioral analytics, or event-level data at a SaaS company.
- Advanced proficiency in SQL, Python, and data modeling.
- Ability to derive insights from complex datasets and translate them into visualizations and dashboards.
- Familiarity with semantic-layer BI tools such as Omni and Looker.
- Familiarity with modern data-stack tools such as dbt and Google BigQuery.
- Familiarity with event instrumentation platforms and CDPs such as RudderStack and Segment.
- Knowledge of cohort analysis, funnel and journey analysis, retention curves, and product metrics.
- Ability to work independently in ambiguous, fast-changing environments and drive analytical work end to end.
- Excellent communication skills, including presenting complex findings to non-technical audiences.
- Ability to navigate competing stakeholder priorities and drive cross-functional alignment.

## Compensation and Benefits
- Salary range: **$180,000–$240,000 annually**.
- Comprehensive health plans and perks.
- Flexible, trust-based work environment.
- Professional and personal growth opportunities.
- Global, multicultural colleagues and customers.
- Work-life balance supporting individual and family needs.

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