Senior Data Analyst I, Medical Affairs

Our mission: eliminating every barrier to mental health.

Spring Health is a global mental health company on a mission to eliminate every barrier to mental health. We're building a world where getting support is simple, personal, and built around the person, so care can continue through every job, move, health plan, and life stage. Our AI-native platform helps us deliver personalized support across self-guided tools, coaching, therapy, medication management, and specialty care. With outcomes independently validated by JAMA Network Open and the Validation Institute, Spring Health reaches more than 170 million people worldwide through leading employers, health plans, and partners. As an AI-native company, we believe technology should expand the reach, quality, and humanity of care. Every Spring Health team member is expected to use AI tools thoughtfully, apply human judgment to AI outputs, and keep building AI fluency in ways that support their role and our mission.

We are hiring a Senior Data Analyst within our Business Intelligence organization to work with our Medical Affairs team. The Medical Affairs team is dedicated to clinical improvement of our members and quality assurance of our providers. In this role, you will serve as a key cross-functional data partner working with Quality, Product, and the Chief Medical Officer. You will work closely with Medical Affairs leadership to define KPIs, track outcomes, and conduct exploratory analyses that drive strategic decision-making and program evolution. A key competency for this role is an exceptional ability to translate technical work and ideas into language that clinicians can easily understand. 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 Medical Affairs team to define, refine, and evolve key metrics and KPIs as the program scales across new conditions and services.
• Build, document, and maintain dashboards and data visualizations in business intelligence tools (ex: Omni & Hex) that empower non-technical users to monitor clinical outcomes and provider quality.
• Conduct exploratory and ad-hoc analyses to answer emerging business and clinical questions.
• Identify trends and gaps in clinical improvement & initiatives 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 Medical Affairs.
• Partner with data, product, and engineering teams to ensure the Medical Affairs team has access to the necessary data sources for comprehensive reporting.
• Serve as a data advisor and thought partner for Medical Affairs 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 and documentation 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.
• Utilize an AI-forward approach, understand key machine learning concepts, and analyze data derived from these technologies to drive clinical and operational insights.
• Lead meetings with stakeholders on a consistent cadence to update them on the status of work and bandwidth along with sending timely updates on communication channels including (but not limited to) Jira tickets and Slack.

What success looks like in this role:

• 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