Karoo is a venture-backed startup on a mission to transform cardiovascular care by empowering large provider groups and health systems to succeed in value-based care contracts with payers through improved patient outcomes and reduced cost of care via better coordination, analytics, and disease management.
Requirements
- Strong proficiency with SQL and BI platforms (Looker, Tableau, Power BI, Mode, or similar).
- Experience analyzing data from multiple sources, such as claims, EHR, CRM, and operational systems.
- Familiarity with healthcare data standards (HL7, FHIR) and payer & provider reporting requirements.
- Proficiency in Python, R, or other scripting languages for advanced analysis.
- Experience with complex data warehouses, analytics pipelines, and cloud computing.
Responsibilities
- Build and maintain dashboards, reports, and self-service tools that provide visibility into clinical, operational, and business performance.
- Perform deep-dive analyses to uncover insights on patient populations, provider performance, care management programs, and payer reporting.
- Translate complex datasets into clear, compelling insights for both technical and non-technical stakeholders.
- Collaborate with data engineers and product/tech teams to ensure data sources are accurate, well-structured, and accessible.
- Proactively identify opportunities for data-driven improvements in care delivery, operations, and financial performance.
- Contribute to building a culture of data-driven decision-making across the company.
Other
- 4 – 7+ years of experience in data analytics, in healthcare, healthtech, or related industries.
- Ability to structure ambiguous problems and translate them into clear analyses and recommendations.
- Excellent communication skills, with the ability to influence stakeholders through data storytelling.
- Comfort working in a fast-paced, early-stage startup environment, where priorities shift and structure is still evolving.
- Experience supporting value-based care models and payer & provider partnerships.
