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!

We’re looking for a strategic, technically strong Lead BI Analyst to join our Data team and play a pivotal role in shaping how we communicate the value and impact of our cancer screening programs. This is a high-impact and high-visibility role designed for someone who thrives in ambiguity, can work independently across cross-functional teams, and is excited by the opportunity to influence the way Color makes cancer screening accessible as part of proactive, population-level healthcare.

You’ll be at the intersection of Go-To-Market (GTM), Sales, and Product — representing the needs of our cross-functional partners in the data solutions that we build . You’ll be a key partner in aligning how we define, measure, and communicate program success to our employer clients and prospective customers, building the dashboards, metrics, and models that make that possible.

This is a rare opportunity to step into a staff-level role with both strategic influence and hands-on responsibility — one that’s essential to our growth and mission.

How You'll Contribute:

Partner cross-functionally with Sales, GTM, and Customer Success to translate stakeholder questions into clear requirements, and define consistent metrics that reflect the effectiveness and impact of our cancer screening programs.

Steer high-visibility, strategic conversations by presenting trends and performance signals and surfacing key insights about company-wide KPIs to executives and stakeholders.

Drive stakeholder alignment on how we define and communicate program impact, including what we track, at what level of granularity, and why — enabling us to prioritize data instrumentation and product analytics in partnership with Product & Engineering.

Empower stakeholders to answer their own questions via self-service resources, unlocking deeper understanding of screening performance, engagement, and population-level trends.

Design analytics products with foresight, anticipating stakeholder deep dives and follow-up questions to minimize back-and-forth and maximize clarity and trust in the data.

Contribute to our dbt project by implementing metrics logic into our core data models, ensuring accuracy, consistency, and sustainability in how metrics are defined and used across downstream dashboards and stakeholder-facing tools.

Proactively identify analytical opportunities to improve how we operate, understand population outcomes, and serve our employer partners — including uncovering insights stakeholders may not yet be looking for.

Our Ideal Candidate Will Have:

8+ years of experience in data analytics, BI, or a related field, with experience working closely with Sales and Customer Success teams

A strong desire to work at the intersection of healthcare and technology, driven by the opportunity to make preventive care more accessible and equitable.

Proven ability to align stakeholders, clearly communicating timelines and priorities.

A passion for aligning terminology and metric definitions across teams to foster shared understanding, consistency, and trust in reporting.

Expertise in BI tools (e.g., Metabase, Looker, Tableau, Omni), with a focus on building intuitive, self-service dashboards that help users explore performance and outcomes with confidence.

Advanced SQL skills and some experience with dbt, or equivalent data transformation tools, with the ability to contribute to and shape scalable, well-documented data models.

Excellent communication skills, with the ability to translate technical concepts for non-technical audiences.

Curiosity that drives proactive questioning and a deep desire to uncover the true business need behind every analytics request — not just answering what was asked, but understanding why it matters.

Experience partnering with Product and Engineering to advocate for the data instrumentation and tracking necessary to meet analytics and reporting needs.

Familiarity with basic statistical concepts, such as confidence intervals and two-sample hypothesis testing, and the ability to apply them to real-world population health questions.

Nice to Have:

Experience in health-tech, digital health, or healthcare-adjacent spaces

Experience working with population health, clinical outcomes data, EHR, or insurance claims data.

Familiarity with R, Python, Git, BigQuery

Experience building data systems that transform raw data into aggregated, easy-to-use marts

Experience crafting self-service data resources

Possible Projects to Contribute to:

Partner with GTM teams to define a data-driven narrative for our Quarterly Business Review template — aligning with Sales, Product, and Customer Success on the metrics and insights that best reflect client engagement and program impact.

Build a self-serve dashboard that quantifies cancer screening completion rates and outcomes by employer, with the ability to filter by employee segments, screening types, and time periods — enabling both internal teams and clients to explore impact in real time.

Lead deep-dive analyses on engagement drop-off or barriers to screening, uncovering actionable insights and translating them into recommendations for internal teams and client-facing strategies.

Base Salary Range: The actual base pay is dependent upon many factors, such as: work experience, market data, skills, geographic location, and business need. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, and benefits.

Color prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law. Color conforms to the spirit as well as to the letter of all applicable laws and regulations. We are also committed to providing reasonable accommodations for qualified applicants with disabilities in our recruitment process.

Lead Business Intelligence Analyst, Client and Program Impact

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