Jobs and Careers

Staff Business and Product Intelligence Analyst

Remote, USA, United StatesRemotefull_timeVerifiedPosted 5 Sept 2025

💰 $195,000/yr($150,000/yr – $195,000/yr)

About the role

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!
As a Staff Analyst 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.

How You'll Contribute:

Build foundational data models that enable Color to demonstrate the value of our programs to employer clients and prospective customers.
Understand both the source data and the needs of the business in order to design robust, scalable models that support insightful analysis and accurate measurement.
Collaborate cross-functionally with Product, Engineering, Operations, GTM, and Client teams — navigating ambiguity with clarity, and evaluating scope/impact tradeoffs to deliver the most meaningful solutions.
Define and maintain business logic in our dbt models, ensuring our warehouse evolves in sync with the changing landscape of our business, product, and source data.
Build self-service views and semantic layers that “speak the language” of data consumers, empowering them to gain deep insights independently through intuitive self-service resources.
Partner with BI and analytics stakeholders to align on metric definitions, ensuring consistency, trust, and transparency across dashboards and reports.
Spot patterns in recurring requests and design durable, reusable solutions that reduce ad hoc work and maximize scale.
Apply emerging AI and automation tools to accelerate analytics workflows and increase team efficiency.
Contribute to a culture of data-driven decision-making by mentoring peers and sharing best practices in analytics engineering.

Our Ideal Candidate Will Have:

5+ years of experience using data to drive product growth and operational efficiency.
3+ years of experience as an analytics engineer or in a similar role..
Excellent communication skills and ability to work with technical and non-technical partners from many teams, especially in exploring decisions and trade-offs.
Experience driving complex projects from design to completion.
Advanced proficiency in SQL, data model design, and data warehouse platforms..
Working knowledge of Python and data science tools.
Deep interest in the modern data stack.
Commitment to software engineering best practices and applying them in an analytics setting.
A strong desire to work at the intersection of healthcare and technology, driven by the opportunity to make preventive care more accessible and equitable.
A strong desire to adapt to new emerging technology and AI tools to scale the output of the team.