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Truveta · 6 hours ago

Healthcare Data Analyst, Data Ecosystem Team

Seattle, WA

Full-time

Hybrid

Entry, Mid Level

$105K/yr - $130K/yr

2+ years exp

Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. They are seeking a Healthcare Data Analyst to empower health system leaders through analytics, focusing on improving care quality and operational efficiency using EHR data.

AnalyticsData ManagementHealth Care

No H1B

Responsibilities

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

Qualification

EHR data expertiseSQLRPythonData analysisDashboard buildingClinical terminologiesCommunicationAdaptability

Required

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