Analytics Engineer

About Us:

Grow Therapy is on a mission to serve as the trusted partner for therapists growing their practice and patients accessing high-quality care. Powered by technology we are a three-sided marketplace that empowers providers augments insurance payors and serves patients. Following the mass increase in depression and anxiety the need for accessibility is more important than ever. To make our vision for mental healthcare a reality were building a team of entrepreneurs and mission-driven go-getters. Since launching in February 2021 weve empowered more than ten thousand therapists and hundreds of thousands of clients across the country and insurance landscape. Weve raised more than $178mm of funding from Sequoia Capital Transformation Capital TCV SignalFire and others.

The Opportunity:

As an Analytics Engineer at Grow Therapy youll build the data foundation that powers key decisions across product operations and strategy. Along the way youll gain deep exposure to the inner workings of a fast-growing healthcare marketplace master advanced tools in modern data engineering and analytics and help evolve our data culture from infrastructure to impact.

Its a rare opportunity to join a mission-driven company at the inflection point of scale where your technical craft directly improves access to mental health care nationwide.

What Youll Be Doing:

• You will ensure every team can leverage trusted actionable insights to better serve providers and take ownership of our data stack from ingestion through modeling in dbt to build efficient robust data pipelines.
  
  
• Youll collaborate daily with Analysts Data Scientists and Machine Learning Engineers as well as stakeholders from Product and Engineering to make sure that the models we build drive value for the business.

Youll Be a Good Fit if:

• 3-5 years of Analytics Engineering / Data Engineering experience building products ideally in a high-growth fast-paced environment.
• Excel at writing complex SQL pipelines and working within a modern data stack (Snowflake dbt Fivetran Prefect Looker/LookML)
• Possess strong foundations in Python data modeling and system design
• Excellent communication and collaboration skills and can work effectively with cross-functional teams to achieve common goals.
• Comfort with ambiguity - You thrive in dynamic environments and are skilled at turning loosely defined problems into clear technical direction.

Bonus Points:

• Hands-on experience working with stakeholders to prioritize define own and implement metric definitions
• Experience implementing a semantic/metrics layer for analysts data scientists and machine learning engineers to use
• Hands-on experience building impactful dashboards and reports using Hex Looker or other data visualization products.

Engineering Team Principles:

• You own what you build. You will feel ownership of the code you write articulate the importance of the feature and follow up to ensure its successful.
• We build solutions for our providers and clients. We write code to solve user problems not just for the sake of solving technical problems.
• You are not part of the tech team but rather part of the team itself! Grow is a tech-enabled business and not a pure software business so understanding how the business works is integral to your job.

Role Details:

• Employment Type: Full-Time Exempt
• Base Compensation: The base compensation range for this position is
  • Hybrid Commitment: $124000$135000 USD Annually
  • Fully Remote Commitment: $103000$115000 USD Annually

This role can be hybrid (onsite from our NYC San Francisco or Seattle hub location three days per week: Tuesday Wednesday Thursday) or fully remote. Both arrangements include travel 23 times per year (e.g. company and department offsites).

The base compensation for this role will vary depending on several factors including relevant experience qualifications and the candidates working location.

Full Time Employee 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-costaccess 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.

Research shows that some groups hesitate to apply unless they meet every qualification. If youre excited about this role but dont check every box we encourage you to apply. At Grow we value diverse experiences transferable skills and the unique strengths each person brings.

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 or Veteran status. We also consider qualified applicants regardless of criminal histories consistent with legal requirements.

Use of AI Tools: By submitting your application you acknowledge and consent to the use of automated tools as part of our recruitment process. Specifically we use a third-party AI toolGem to assist in theinitial screening of resumes. This tool analyzes resumes based on role-specific criteria provided by our recruiters to identify potentially strong matches for the role. Importantly no hiring decisions are made by the AI tool.All decisions about which candidates move forward are made by our human recruiting team after independent review.More information about Gems approach to compliance withCalifornia FEHA regulations on automated decision systemsandNew York Local Law 144can be found on the Gem compliance website.We are committed to transparency and fairness in our hiring practices. If you have questions about how our AI tools work or would like more information about how your application will be processed please contact us at . If you require an accommodation due to a disability or have concerns about the use of AI in the hiring process please also contact us. We are happy to provide assistance or offer an alternative method of participating in the recruitment process.