Lead Healthcare Claims Data Analyst

Collective Health•San Francisco, CA

11d•$107,635 - $168,750•Hybrid

About The Position

At Collective Health, we're transforming how employers and their people engage with their health benefits by seamlessly integrating cutting-edge technology,passionate service, and world-class user experience design. The Analytics team is a data-driven team focused on unlocking insights that improve member oues 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 leadplex data analyses to support clinical, operational, and financial decisions, and play a key role in developing data products that shape strategic direction. You will collaborate across departments, mentor junior analysts, and work directly with business stakeholders. If you're passionate about using data to make a meaningful impact in healthcare, you'll find a home .

Requirements

8+ years of experience in data analytics in healthcare, particularly with claims data
Proven ability to work withplex, large-scale datasets—including querying, QA, summarizing, visualizing, andmunicating insights.
Strong SQL skills with a track record of writing efficient, scalable queries for analysis and reporting.
Experience with more than one coding language and business insights tooling with Looker (required).
Demonstrated project management skills, with the ability to prioritize tasks, manage timelines, and drive cross-functional collaboration.
Strongmunication skills, with the ability to translate technical findings into clear, actionable rmendations for non-technical stakeholders.

Responsibilities

Design, build, and deliver sophisticated analyses on medical cost, utilization, membership, quality, pharmacy, and network performance.
Translate business questions into analytic plans andmunicate results in a clear, actionable manner to both technical and non-technical audiences.
Develop and maintain dashboards, reports, and data visualizations using Looker and other BI tools.
Support internal stakeholders (e.g., Product, Clinical, Network, Finance) by generating insights that inform strategy and operational improvements.
Identify opportunities to automate manual reporting and create scalable analytic assets.
Provide quality assurance and peer review of analytic deliverables.
Mentor junior analysts and contribute to the development of analytics standards, documentation, and best practices.
To partner with data engineering to develop and maintain data models that support analytics, reporting, and business intelligence across clinical and insurance domains.
To champion data quality by conducting regular audits, identifying inconsistencies, and supporting governance practices that ensure data integrity.
To collaborate with cross-functional teams—including clinical leaders, product managers, and strategy partners—to surface insights that guide program design and business decisions.
To be self-sufficient, intellectually curious and take ownership for everything you do.