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The Data Health Partner (DHP) plays a critical role in ensuring that customer data within Arcadia’s platform is accurate, reliable, and actionable. This role sits at the intersection of data validation, dataset analysis, backend troubleshooting, and cross-functional delivery. The Data Health Partner analyzes healthcare datasets, validates system behavior, and resolves data issues so customers can confidently trust and act on their data.
Job Responsibility:
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
Requirements:
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
Nice 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