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Senior/Staff Data Analyst

Headway
New York City, United Statesfull_timeVerifiedPosted 13 Mar 2025
💰 $215,000/yr($152,150/yr$215,000/yr)

About the role

Headway’s mission is a big one – to build a new mental health care system everyone can access. We’ve built technology that helps people find great therapists with the first software-enabled national network of providers accepting insurance. 

1 in 4 people in the US have a treatable mental health condition, but the majority of providers don’t accept insurance, making therapy too expensive for most people. Headway is building a new mental healthcare system that everyone can access by making it easy for therapists to accept insurance and scale their practice. 

Headway was founded in 2019. Since then, we’ve grown into a diverse, national network of over 45,000 mental healthcare providers across all 50 states who run their practice on our software and have served over 1 million patients. We’re a Series D company with over $325m in funding from a16z (Andreessen Horowitz), Accel, GV (formerly Google Ventures), Spark Capital, Thrive Capital, Forerunner Ventures and Health Care Service Corporation.

We want your time here to be the most meaningful experience of your career. Join us, and help change mental healthcare for the better.

About data at Headway

Building a new mental healthcare system at Headway is only possible because of the insights and leverage that data can provide. The data team at Headway is a small but mighty team designing the infrastructure, implementing pipelines, and driving the analytics and insights to build the mental healthcare system of the future (and have a fun time while doing it!). The data team collaborates deeply with partner teams across the company to identify and drive areas for operational improvement, unlock key insights through infrastructure and data visibility, educate the company on data and how to become more data-driven, and uses technical expertise and science to solve the mental healthcare industry’s most challenging problems. 

Functions of data at headway:

  • Data Analytics deploys an understanding of our business and delivers insights to operate it more effectively.
  • Data Engineering: engineers the data infrastructure needed for analytics and data science.
  • Product Analytics: understands how users interact with our product so we can deliver better user experiences.
  • Data Science: delivers data as a product to power our intelligent therapist-matching, as well as our smart-survey technologies.

About the role

We are seeking Data Analysts to join our growing Data team. As an early member on our Data team, you'll be responsible for the growing analytics and insights needs across the organization. You’ll work with partner team leads to collect, visualize and interpret data that enables better decision-making through a deeper understanding of our marketplace growth and operations. You’ll also help build deep partnership between the Data team and the rest of the organization through data analysis and the creation of dashboards and other tools to empower various business stakeholders, and perform analyses that lead to impactful data-driven decisions. If you are a self-starter, comfortable with ambiguity and challenging problems, excited about building a data-driven culture, and motivated by making an impact, then you will be a good fit for this role.

You will: 

  • Become a trusted strategic partner to our operations and business teams (growth, revenue, and customer success), and work with them to define analytics requirements, identify important questions, and help answer them with data. 
  • Support the operational needs of business stakeholders by delivering high-quality output from data modeling and reverse ETL.
  • Collaborate with Data and Product Analysts, Data Engineers, Data Scientists, and stakeholders across the company to model data in a scalable way and present it in an impactful and digestible way that leads to better business decisions. 
  • Tell compelling stories through data, articulating technical information to a non-technical audience

What will make you successful:

  • 6+ years of full-time experience using data to surfacing key insights and recommendations from data, solving real world problems, and supporting decision making within growth, product, revenue, or operations teams
  • 4+ years of full-time experience at a high-growth technology startup
  • You are adept at building relationships with the people you work with
  • Proficient in SQL, developing and documenting data models, and experience managing a modern BI tool like Metabase or Looker
  • Willingness to “do the dishes” - no task is below you, and you’re willing to do what’s needed and leverage different skill-sets to make partner te

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Company

Headway

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