About
The Opportunity Grow Therapy is seeking a Staff Data Analyst to drive data-informed decision-making across our Match Success product group. In this role, you will lead analytical initiatives that help us understand how patients and therapists connect and begin their journey together, and shape the product experiences that make therapy accessible and effective. You will partner closely with Product and cross-functional stakeholders to set the analytical agenda, own business-critical reporting, use data to improve products, and run rigorous experiments, while helping raise the bar for how data is used across the team.
What You’ll Be Doing
Partner with Product and other technical stakeholders to prioritize analytical needs and support product launches, decision-making, and ad hoc requests through clear, data-driven insights.
Own analytical strategy and define the metrics, reporting frameworks, and experimentation roadmap that guide product direction and OKR development for the team.
Design, maintain, and scale business-critical dashboards and datasets that give stakeholders reliable, self-serve access to the metrics that matter.
Lead experimentation end-to-end, from thoughtful test design through execution, analysis, and clear actionable recommendations that drive product decisions.
Craft compelling data narratives and visualizations that translate complex findings into crisp takeaways for product, leadership, and executive audiences.
Collaborate with data scientists and data engineers to improve logging, pipeline reliability, data availability, and modeling foundations (including dbt).
Partner with other analysts, contribute to shared tooling and frameworks, and help set standards for analytical rigor across the team.
You’ll Be a Good Fit If
Have 7+ years of experience applying analytics to complex, cross-functional business problems in a high-growth, product-focused environment.
Self-directed owner who proactively identifies high-impact opportunities, navigates ambiguity well, and drives work forward without waiting to be asked.
Deeply fluent in SQL and have strong working knowledge of experimental design, including A/B testing methodology and statistical interpretation.
Proven track record building business-critical dashboards and data visualizations, ideally in Hex, Looker, or similar platforms.
Experience with data modeling (dbt) or quick to pick up new technical tools and frameworks.
Skilled data storyteller who can extract insight from complexity and communicate it clearly to technical and executive audiences.
Builds strong relationships across functions, comfortable partnering with engineers, PMs, and executives, earning trust through rigor and clear communication.
Passionate about expanding access to mental health care and motivated by work that directly impacts patient and provider outcomes.
Experience with advanced analytics techniques such as Python, ML models, LLM, etc., is a plus.
Employment Details Employment Type: Full-Time, Exempt
Base Compensation: $182,000 - $227,000 USD annually.
Hybrid Commitment: Three days per week (Tuesday, Wednesday, Thursday) onsite at San Francisco hub. Travel: 2–3 times per year (e.g., company and department offsites).
Benefits
Comprehensive Health Coverage: Medical, dental, vision, life, and disability insurance.
Parental Leave & Family Support: Up to 18 weeks paid leave and a new child stipend.
Financial Wellness: 401(k) program and equity opportunities.
Meals & Home Office Support: Stipends for home office setup and ongoing funds for meals.
Time Off to Recharge: Flexible PTO, 12 paid holidays, and a full winter break week.
Wellness & Development: Annual stipends for personal & professional growth.
Mental & Physical Health Support: No-cost access to therapy through the Grow platform, weekly flexible hours for self-care, and memberships to wellness apps.
Extra Perks: Pet insurance discounts, commuter benefits, and global travel assistance.
Equal Opportunity & EEO Statement Grow Therapy is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or criminal history, as consistent with legal requirements.
If you require an accommodation due to a disability or have concerns about the use of AI in the hiring process, please let us know. We are happy to provide assistance or an alternative method of participation.
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Languages
- English
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