Lead Business Intelligence Analyst

Summary

Join Color Health, a revolutionary virtual cancer clinic, as a Lead BI Analyst. You will play a pivotal role in shaping how we communicate the value and impact of our cancer screening programs. This high-impact role requires strong technical skills and collaboration with cross-functional teams. You will translate stakeholder questions into clear requirements, define consistent metrics, and build dashboards. The ideal candidate has 8+ years of experience in data analytics and a passion for making preventive care more accessible. This is a staff-level role with strategic influence and hands-on responsibility, essential to our growth and mission. Apply even if you don't meet all qualifications.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• 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

Benefits

• Bonus
• Equity