Color Health is revolutionizing cancer care with the nation’s first Virtual Cancer Clinic, delivering high-quality, physician-led multidisciplinary care across all 50 states. Our innovative, guideline-based approach spans cancer screening, risk assessment, prevention, diagnosis, treatment support, and survivorship. In addition to personalized direct medical care, our services include cancer genetics risk assessment, nutrition, mental health support and at-home cancer screening diagnostics. Using technology-driven, patient-centric solutions, Color is transforming how employers, unions, health plans, and governments address cancer. Color’s goal is to close critical cancer care gaps, improve cancer outcomes, and guide patients with empathy through their healthcare journeys.
Apply to join Color and do the most meaningful work of your career. If you are not sure that you’re 100% qualified but are up for the challenge - we want you to apply!
About The Role
As a Senior Analytics Engineer at Color, you will be the bridge between stakeholders and scalable data solutions. You’ll create and maintain the foundational data models that power insights into our cancer screening programs — enabling us to demonstrate impact, identify areas for improvement, and drive product and business decisions with confidence. Partnering across Data, Product, and Engineering, you’ll help define and maintain trusted technical definitions that support experimentation and ensure accurate measurement of program success.
Beyond delivering dashboards and metrics, you’ll look for patterns in stakeholder needs across BI, product analytics, and client analytics, designing durable systems that go beyond ad hoc solutions: building trusted data infrastructure, self-service tools, and education that empower teams to answer their own questions. You’ll also experiment with AI and automation to scale analytics workflows and unlock new capabilities.
This is a role for someone who thrives at the intersection of technical engineering and cross-functional strategy — eager to shape both the infrastructure and the culture that enable data-driven decisions at scale, while advancing Color’s mission to transform cancer care.