Healthcare Data Analyst, Data Ecosystem Team Seattle, WA

Seattle, WA

Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.

Truveta was born in the Pacific Northwest, but we have employees who live across the country. Our team enjoys the flexibility of a hybrid model and working from anywhere. In person attendance is required for one week during the year for Truveta Planning Week.

For overall team productivity, we optimize meeting hours in the pacific time zone. We avoid scheduling recurring meetings that start after 3pm PT, however, ad hoc meetings occur between 8am-6pm Pacific time. #LI-remote

Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you.

As part of the Ecosystem division, the newly formed Healthcare Analytics team is central to delivering on Truveta’s mission by empowering health system clinical and administrative leaders to measure, learn, and improve. We are building exemplary metrics, dashboards, and benchmarks that inspire adoption of Truveta by our member health systems.

The Healthcare Analytics team is looking for a Healthcare Data Analyst who thrives at the intersection of EHR data expertise, rigorous analytics qualifications, and collaborative problem solving. You will play a critical role in creating high-quality analytic outputs that health systems can adopt and customize to improve care quality, population health, clinical operations, and financial sustainability, solving consequential problems in healthcare using an EHR database of ~120 million patients (and growing!),

while positively impacting patient outcomes.

This role is ideal for someone with hands-on experience working with EHR data, strong data wrangling skills, and a passion for turning data into meaningful insight that resonates with clinicians, health system executives, and operational leaders. As a Healthcare Data Analyst
, you will have the opportunity to translate complex clinical and claims data into clear, defensible evidence that supports member initiatives in safety, quality, cost reduction, and growth.

• Develop iconic analytic outputs (studies, dashboards, benchmarks) that demonstrate Truveta’s unique value and inspire members to replicate, customize, and apply insights to address common, high-priority health system challenges.
• Wrangle large-scale healthcare datasets and build reproducible queries using SQL, R, and/or Python to scope analytic use cases, assess feasibility, and deliver studies and dashboards within agreed timelines, while developing subject matter expertise in Truveta’s proprietary coding language and analytics platform.
• Engage with clinical, quality, and operational leaders by delivering case studies, interactive demos, and analytic output that showcase Truveta’s differentiated capabilities and highlight how Truveta can impact healthcare’s mission and margin objectives.
• Collaborate closely with cross-functional teams to validate data quality, investigate issues, and provide feedback that informs Truveta’s product roadmap.
• Use AI thoughtfully and strategically to spark new ideas and tackle problems. Apply AI to speed feedback loops, test hypotheses, and deliver insights faster, while balancing judgment, creativity, and an awareness of its limitations.

• Undergraduate or graduate (preferred) education in data analysis, clinical informatics, epidemiology, public health, or a related field.
• Experi…