Data Researcher

Navina is a fast-growing digital health SaaS company that’s on a mission to transform the way physicians interact with patient data. Thousands of clinicians across the United States already use Navina’s AI-powered solution that transforms complex and fragmented patient data into concise “patient portraits" and actionable clinical insights at the point of care. With Navina, physicians experience less burnout, reduce missed diagnoses, and can devote more time to giving better care to their patients.

Navina has been named one of the Top 100 AI companies globally by CB Insights and made the list of the Top 50 Digital Health startups. We are already working with industry-leading value-based organizations including Privia Health and Agilon.

We're currently seeking a Senior Data Researcher to join our Data Team and help proactively guide our business growth through the provision of strategic perspective, market insight, and experience with analytical tools and techniques. You will work closely with product managers, medical analysts, and the engineering team and bring your expert analytical ability to provide key insights, recognize key opportunities, and drive strategic initiatives forward.

Responsibilities:

• Work with product, medical, and engineering teams to turn data into insights and recommendations.
• Conduct exploratory analysis to identify opportunities for new features, model their impact, and drive performance improvements.
• Build and maintain dashboards to improve data visibility and monitoring.
• Analyze product performance, user behavior, and interactions to showcase product value.
• Define, measure, and build monitoring tools for key KPIs.
• Visualize insights clearly to improve understanding and decision-making.
• Support roadmap planning by identifying trends, gaps, and opportunities.
  
  

• Senior Data Analyst/Researcher or a similar role (at least 3 years of experience as a data analyst/researcher or academic research experience in an analytical field)
• SQL and Python skills - at least 1 year of experience with Pandas library
• Big data analytics experience - handling heavy data queries in an optimized environment
• Strong analytical, communication, and organizational skills
• Strong data visualization skills
• Methodological approach for data analysis
• Ability to multitask and handle various priorities in a fast-paced environment
• Presentation skills: Ability to present the data clearly to decision-makers and customers to efficiently support business decisions and marketing goals