Senior Data Analyst, Specialty Care

Our mission: to eliminate every barrier to mental health.

At Spring Health, we’re on a mission to revolutionize mental healthcare by removing every barrier that prevents people from getting the help they need, when they need it. Our clinically validated technology empowers us to deliver the right care at the right time—whether it’s therapy, coaching, medication, or beyond—tailored to each individual’s needs.

We proudly partner with over 450 companies, from startups to multinational Fortune 500 corporations, as a leading provider of mental health service, providing care for 10 million people. Our clients include brands you use and know like Microsoft, Target, and Delta Airlines, all of whom trust us to deliver best-in-class outcomes for their employees globally.

We have raised capital from prominent investors including Generation Investment, Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership and our latest Series E Funding, our current valuation has reached $3.3 billion.

We are hiring a Senior Data Analyst within our Business Intelligence organization to work with our Specialty Care team. The Specialty Care team is dedicated to providing tailored support for members with complex or acute behavioral health conditions, including substance use disorders, trauma recovery, and neurodiversity needs. In this role, you will work closely with Specialty Care leadership to define KPIs, track outcomes, and conduct exploratory analyses that drive strategic decision-making and program evolution. You’ll operate in a cross functional data team that includes data scientists and analytics engineers, all of whom are working towards this goal with you. This is a full time, remote position on our team reporting to the Associate Director, Analytics. Occasional travel may be required for company or team meetings/events.

What you’ll do:

• Partner with the Specialty Care Operations team to define, refine, and evolve key metrics and KPIs as the program scales across new conditions and services.
• Build and maintain dashboards and data visualizations in business intelligence tools (ex: Looker, Hex, Omni) that empower non-technical users to monitor member engagement, clinical outcomes, and operational efficiency.
• Conduct exploratory and ad-hoc analyses to answer emerging business questions, such as evaluating early engagement in new services or understanding potential impacts of platform changes.
• Identify trends and gaps in program performance and recommend opportunities for improvement based on data-driven insights.
• Support data integrity efforts by contributing to dbt models and ensuring consistent, scalable data structures across Specialty Care programs.
• Partner with data, product, and engineering teams to ensure the Specialty Care team has access to the necessary data sources for comprehensive reporting.
• Serve as a data advisor and thought partner for Specialty Care leadership, proactively shaping how success is measured and informing future strategic initiatives.
• Partner with the data science team to dive deeper into major trends, helping us understand what is driving those changes.
• Ensure downstream teams can access and utilize data effectively by providing training, documentation and support for the dashboards and data products you deliver.
• Ensure accurate and consistent reporting of metrics, collaborating with cross-functional teams to maintain data quality.