Senior Data Analyst, Specialty Care

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, Precision Mental Healthcare, 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. With our innovative platform, we’ve been able to generate a net positive ROI for employers and we are the only company in our category to earn external validation of net savings for customers.

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’re just getting started—join us on our journey to make mental healthcare accessible to everyone, everywhere.

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. 

• →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 stakeholders to ensure data alignment across the business.
• →Work with our analytics engineering team to maintain the core data models in dbt that support these metrics and ensure data consistency.

• Develop tools and analyses that enable the teams you work with to hit their own KPIs - you’re successful when you help your team be successful!
• Reduce the amount of time teams spend manually pulling data to inform decisions
• Develop dashboards and analyses that deliver ongoing value to teams, measured in proxy by the number of monthly active users and total views different dashboards and analyses receive.
• Contribute to our foundational data model by adding additional fields and tables according to our data style guide

• You are passionate about changing the face of mental health care and Spring Health’s mission to remove all barriers to mental health resonates with you
• You are an early adopter of AI and automation tools, you actively experiment with LLMs, AI-assisted analytics, and emerging tooling to accelerate your work and surface insights faster.
• You have 5+ years of working experience working with data, data visualization, and dashboarding tools
• You are an expert in SQL, and have at least familiarity with dbt or similar data transformation tools
• You have strong user empathy - you can deeply understand the core issues stakeholders are having and translate them into solutions that meaningfully improve their ability to operate
• You have experience working with Looker or other similar data visualization tools (tableau, etc), both creating the data model and building dashboards
• You focus on impact, finding the things you can deliver that provide the most value for your stakeholders
• You have exceptional communication skills, are comfortable explaining technical concepts to a non-technical audience, and are comfortable working independently with executive level team members
• You are humble, highly motivated, and thrive in fast-paced environments
• You have a proven ability to proactively manage your own priorities and dependencies in alignment with cross-functional dependencies and product/business impact
• You have a passion for successfully navigating ambiguous problem areas and learning new approaches

The target base salary range for this position is $125,000 - $142,000 and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Database at minimum to ensure competitive and fair pay.