Data Health Partner
Team: Technical Operations
Location: Remote (USA), Boston, MA, Washington DC, Arlington, VA
Commitment: Full-time
Workplace Type: onsite
What You'll Be Doing
- Serve as a technical expert responsible for ensuring data accuracy, validating backend systems, and troubleshooting complex data issues
- Query and analyze healthcare datasets to identify data quality issues, inconsistencies, and anomalies
- Validate data integrity through backend systems and configuration reviews
- Troubleshoot ingestion, transformation, and orchestration failures
- Monitor job workflows and diagnose dependency or sequencing conflicts
- Deliver assigned technical work within agreed timelines and flag risks early
- Partner with the Customer Management team to align technical execution with customer priorities
- Support customer discussions when technical clarification is needed
- Participate in production support workflows to verify fixes and confirm resolution
- Collaborate across Data, Product, R&D, and customer teams to support scalable data solutions and translate technical findings into clear, actionable outcomes
- Document investigations clearly and escalate issues when appropriate
- Apply structured problem-solving to propose practical, technically sound solutions
- Use AI tools to improve efficiency in analysis, troubleshooting, and documentation
What You'll Bring
- Bachelor’s degree in a STEM or quantitative field, or equivalent experience
- Professional experience working with data in a technical or analytical capacity
- Proficiency in SQL and experience querying complex relational databases. This role requires strong SQL skills and a proven track record of working with large or complex data environments
- Experience analyzing datasets to identify patterns or discrepancies
- Strong analytical and problem-solving skills
- Comfort leveraging AI tools to improve efficiency and workflows
- Ability to operate effectively in a matrixed, cross-functional environment
- Clear written and verbal communication skills
- Curiosity, attention to detail, and strong desire to grow technically
- Typically 2–5 years of relevant experience, though we welcome strong candidates with varied backgrounds
Would Love for You to Have
- Exposure to healthcare data (claims, clinical, ADT, provider, etc.)
- Familiarity with AWS (S3, Redshift) or similar cloud platforms
- Experience with Python or other scripting languages
- Experience using Jira, Confluence, or similar collaboration tools
- Interest in value-based care models
What You'll Get
- The opportunity to change healthcare for the better by integrating and improving critical data that powers population health
- The chance to work alongside some of the best minds in healthcare to solve complex, high-impact data challenges
- Exposure to a diverse portfolio of healthcare customers focused on modernizing care delivery through data
- A collaborative team with deep expertise in population health, data quality, data management, and analytics
- A supportive culture that values flexibility while creating opportunities for connection, growth, and professional development
- Competitive benefits, including flexible time off
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