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Healthcare Data Analyst

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Truveta

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Location:
United States , Seattle

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Contract Type:
Not provided

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Salary:

105000.00 - 130000.00 USD / Year

Job Description:

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.

Job Responsibility:

  • 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

Requirements:

  • Undergraduate or graduate (preferred) education in data analysis, clinical informatics, epidemiology, public health, or a related field
  • Experience working with large relational database consisting of millions of patients' records
  • Experience building dashboards, benchmarks, or metrics to achieve measurable improvement in health system operations, quality outcomes, or population health
  • 2+ years of experience wrangling and analyzing EHR data or other real-world data sources using SQL, R and Python
  • Knowledge of clinical terminologies such as ICD, SNOMED, LOINC, RxNorm, or NDC
  • A willingness to learn new coding languages including internal proprietary coding language to analyze data and build cohorts
  • Experience translating healthcare and operational concepts into analytic workflows
  • Strong communication skills to present insights and results to both technical and non-technical audiences
  • Ability to learn and adapt quickly in a dynamic start-up environment

Nice to have:

  • Experience working with unstructured clinical data, natural language processing outputs, or AI/ML tools
  • Knowledge of distributed computing platforms (Spark) and associated data analysis languages (Spark SQL, PySpark, SparkR)
  • Experience building cohort definitions, defining metrics, and interpreting analytic findings
What we offer:
  • Interesting and meaningful work for every career stage
  • Great benefits package
  • Comprehensive benefits with strong medical, dental and vision insurance plans
  • 401K plan
  • Professional development & training opportunities for continuous learning
  • Work/life autonomy via flexible work hours and flexible paid time off
  • Generous parental leave
  • Regular team activities (virtual and in-person)
  • Additional compensation such as incentive pay and stock options for certain roles

Additional Information:

Job Posted:
December 13, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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