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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
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