The Analytics team is a data-driven team focused on unlocking insights that improve member outcomes and drive business performance. Our team sits at the intersection of data, strategy, and execution. The Analytics team reports directly to the Vice President, Data Engineering, Analytics, and AI in Product Development.
In this role, you will help with standardizing and scaling all of the analytics deliverables which include reporting and self-serve dashboards leveraging data from claims, eligibility, population health, customer engagement, and digital platforms. You will collaborate across departments, mentor junior analysts, and work directly with business stakeholders and present meaningful insights to clients. If you're passionate about using data to make a meaningful impact in healthcare, you'll find a home here.

What you'll do:

• Design, build, and deliver sophisticated analyses focusing on core metrics from various domains such as claims, eligibility, customer experience, digital engagement, and the complete member journey.
• Translate business questions into analytic plans and communicate results in a clear, actionable manner to both technical and non-technical audiences.
• Design logical categorizations for dashboards and views, building scalable and automated reports in Looker and other BI tools to provide self-service insights to the business.
• Support internal stakeholders (e.g., Product, Customer Success, Marketing, etc.) by generating insights that inform strategy and operational improvements.
• Proactively identify and execute opportunities to build automated reports and analytical processes, reducing manual effort and increasing reliability.
• Provide technical mentorship and peer review, including refactoring and optimizing complex code for existing reports to improve performance and scalability.
• Work closely with the Data Architect and engineering teams to help build and refine the semantic layer, ensuring data models are optimized for analytical use.

To be successful in this role, you'll need:

• A minimum of 5+ years in data analytics, ideally within a related healthcare or health tech field.
  • Requires a track record of success in a high-velocity environment and a strong technical aptitude for simplifying and scaling complex data assets to support long-term standardization.
• Proven ability to work with complex, large-scale datasets from disparate silos, with a deep focus on healthcare data.
• Strong SQL skills with a track record of writing efficient, scalable queries for analysis and reporting.
• To be technically savvy with modern data tools. This includes advanced SQL, hands-on experience with cloud data platforms like Databricks, and expert-level proficiency in BI tools, especially Looker.
• Demonstrated project management skills, with the ability to prioritize tasks, manage timelines, and drive cross-functional collaboration.
• Strong communication skills, with the ability to translate technical findings into clear, actionable recommendations for non-technical stakeholders.
• To champion data governance and quality by conducting audits and validation. This includes the ability to pull and interpret data from EDI files to support claims audits and analysis.
• A strong functional understanding of the claims adjudication process, from submission to payment.
• To be self-sufficient, intellectually curious and take ownership for everything you do.

Pay Transparency Statement

This is a hybrid position based out of one of our offices: San Francisco, CA, Plano, TX, or Lehi, UT. Hybrid employees are expected to be in the office two days per week.#LI-hybrid

The actual pay rate offered within the range will depend on factors including geographic location, qualifications, experience, and internal equity. In addition to the salary, you will be eligible for stock options and benefits like health insurance, 401k, and paid time off. Learn more about our benefits at https://jobs.collectivehealth.com/benefits/.