Senior Analytics Engineer

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. About The RoleAs 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.How You'll Contribute:Build foundational data models that help Color demonstrate program value to employers and prospective clients.Translate business needs and source data into robust, scalable models that power accurate, insightful analysis.Collaborate across Product, Engineering, Operations, GTM, Clinical, and Client teams — clarifying ambiguity and balancing scope vs. impact to deliver meaningful solutions.Define and maintain business logic in dbt, keeping the warehouse aligned with evolving products, data, and business needs.Create self-service data layers that speak the language of business users, enabling intuitive, independent exploration.Partner with BI and analytics teams to align on metrics and ensure consistency and trust across dashboards.Identify recurring patterns and build reusable solutions that reduce ad hoc work and improve scalability.Use emerging AI and automation tools to streamline analytics workflows and boost team efficiency.Contribute to a culture of data-driven decision-making by mentoring peers and sharing best practices in analytics engineering.Must-Haves5+ years of experience using data to drive product growth and operational efficiency.5+ years of experience as an analytics engineer or in a similar role..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.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.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. Nice to Have:dbt, BigQuery, Fivetran, Airflow, GitAnalytics & BI tools like Omni or MetabaseLarge amounts of healthcare or genomic dataAutomating manual processes with data solutionsConforming disparate data sources to a common modelCrafting self-service data resourcesHelping teams adopt AI tools and workflowsPossible Projects to Contribute to:Expand self-service data models in collaboration with analysts to drive adoption and empower teams across Color. Today, more than half the company uses dashboards we’ve built, and over one-third of employees create their own analyses thanks to our robust self-service models — and we’re eager to grow this impact even further.Develop and enhance customer-facing data models that power the next generation of dashboards, giving clients visibility into program health (, engagement rates, participation trends) and population outcomes (, areas of vulnerability where Color can provide support).Build a conformed medical claims data model that unifies disparate sources, enabling consistent and accurate analysis of healthcare utilization and outcomes.Optimize data infrastructure performance and costs, ensuring our pipelines and warehouses are efficient, scalable, and reliable as our data volume and complexity grow.What We Offer:💰 Competitive salary ✨ Comprehensive medical, dental, vision, life, and disability benefits📈 401k match 📝 Monthly phone and wifi stipend for employees, annual ergonomic stipend🏝 Generous vacation policy, paid holidays and company-wide recharge days🍼 Equal paid parental leave for birthing and non-birthing parents  Free cancer screening and prevention resources for employees and their adult dependents$145,000 - $190,000 a yearThe 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.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. 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