Truveta delivers the most complete, timely and clean EHR data, empowering researchers to improve patient care, accelerate R&D, and inform public policy.

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.

Who We Need

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.

This Opportunity

We are seeking an enthusiastic and detail-oriented healthcare data analyst to join our team. This role will primarily focus on performing ad hoc analyses to support various healthcare projects and initiatives. The ideal candidate will have a strong analytical mindset, an interest in healthcare data, and the ability to work both independently and collaboratively.

Key Responsibilities

• Ad Hoc Analysis: Conduct detailed ad hoc analyses to address specific business questions or challenges. This may include data extraction, manipulation, and reporting.
• Data Collection & Preparation: Use Databricks, SQL, and Excel to collect and analyze data
• Collaboration: Work closely with senior analysts, healthcare professionals, and other team members to understand analysis requirements and provide data-driven insights.
• Data Quality Assurance: Verify data integrity and accuracy of outputs independently and by maintaining best practices such as code review
• Documentation: Maintain thorough documentation of methodologies, processes, and findings to support reproducibility and knowledge sharing.
• Continuous Learning: Stay updated with the latest trends and technologies in healthcare analytics and data science.

Key Qualifications

• Bachelor’s degree in Data Science, Statistics, Healthcare Administration, or similar field.
• 1-3 years of experience using SQL; Python & PowerBI is a plus
• Familiarity with healthcare data and ontologies such as ICD-10, RXNorm, and SNOMED.
• Exposure to ML/AI preferred.
• Strong understanding of relational databases.
• Attention to detail and ability to produce high quality work independently.
• Start-up mindset that allows you to shift gears quickly.