Senior Data Analyst I, Medical Affairs

Springhealth; United States; Remote; USD 110,000 - 150,000; Full time

Job summary

Springhealth is hiring a Senior Data Analyst in a fully remote BI role. You will partner with Medical Affairs, Quality, Product, and the CMO to define KPIs, track outcomes, and conduct exploratory analyses that inform strategic decisions.

You will translate technical work into clinician-friendly language, build dashboards using Omni and Hex, and collaborate with data scientists and engineers to maintain scalable data models and data integrity.

Qualifications

• Experience translating analytics for clinical audiences.
• Ability to build dashboards and data visuals for non-technical users.
• Familiarity with dbt data modeling and data governance.

Responsibilities

• Define, refine, and evolve KPIs as programs scale.
• Build, document, and maintain dashboards in Omni/Hex for clinicians.
• Conduct exploratory and ad-hoc analyses to answer questions.
• Identify trends and gaps; recommend data-driven improvements.
• Contribute to dbt models and scalable data structures.
• Collaborate with data, product, and engineering teams for data access.
• Serve as data advisor to Medical Affairs leadership.
• Partner with data science to analyze major trends.
• Provide training and documentation for dashboards and data products.
• Ensure accurate reporting and data alignment across business.
• Maintain core data models in dbt to support metrics.

Skills

Data analysis

KPI definition

Dashboard storytelling

Cross-functional collaboration

Communication with clinicians

Training & documentation

Tools

Omni

Hex

dbt

Job description

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.