Staff Data Analyst

Grow Therapy • San Francisco, CA

8h • $182,000 - $227,000 • Hybrid

About The Position

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.

Requirements

• You have 7+ years of experience applying analytics to complex, cross-functional business problems in a high-growth, product-focused environment.
• You are a self-directed owner who proactively identifies high-impact opportunities, navigates ambiguity well, and drives work forward without waiting to be asked.
• You are deeply fluent in SQL and have strong working knowledge of experimental design, including A/B testing methodology and statistical interpretation.
• You have a proven track record building business-critical dashboards and data visualizations, ideally in Hex, Looker, or similar platforms.
• You have experience with data modeling (dbt) or a strong track record of quickly picking up new technical tools and frameworks.
• You are a skilled data storyteller who knows how to extract insight from complexity and communicate it clearly to both technical and executive audiences.
• You build strong relationships across functions, comfortable partnering with engineers, PMs, and executives, and you know how to earn trust through rigor and clear communication.
• You care deeply about expanding access to mental health care and are motivated by work that has a direct impact on patient and provider outcomes.

Nice To Haves

• Experience with advanced analytics techniques such as python, ML models, LLM, etc., is a plus.

Responsibilities

• 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.

Benefits

• Comprehensive Health Coverage: Medical, dental, and vision insurance, plus life and disability coverage.
• 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, with tailored perks for both remote and in-office employees.
• Time Off to Recharge: Flexible PTO, 12 paid holidays, and a full winter break week.
• Wellness & Development: Annual stipends to put towards personal & professional growth.
• Mental & Physical Health Support: No-cost access to therapy through the Grow platform, weekly flexible hours for self-care (“Mental Health Mornings/Afternoons”) and memberships to leading wellness apps (such as One Medical, Headspace, and Talkspace).
• Extra Perks: Pet insurance discounts, commuter benefits, and global travel assistance.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 501-1,000 employees