Profile, analyze, and remediate data quality issues across master data domains through root cause analysis, cleansing, standardization, and reconciliation.
Define, implement, and monitor data quality rules, validations, and controls to improve data integrity and governance.
Leverage AI-powered tools and coding assistants to accelerate analysis, generate SQL, document findings, and explore enterprise data.
Partner with Finance, Operations, Revenue Cycle, Clinical teams, and Domain Stewards to investigate issues and drive data remediation initiatives.
Translate business requirements into actionable data quality standards, test cases, business rules, and stakeholder-friendly documentation.
Build and maintain data quality dashboards, scorecards, and reporting in Power BI, Databricks, and Excel while tracking issue resolution and escalating systemic risks.

2–4 years of hands-on experience in data quality, data profiling, or healthcare analytics;
Bachelor's in Data Analytics, Information Systems, Healthcare Informatics, or related field preferred
Strong SQL for querying, profiling, and root cause work; advanced Excel proficiency
Demonstrated daily use of modern AI tools (e.g., Claude, Microsoft Copilot, ChatGPT, or equivalent) as a working analytical method, not awareness, actual use
Familiarity with healthcare data (clinical workflows, revenue cycle, provider credentialing, operational workflows) or strong, demonstrable willingness to learn quickly
Demonstration of clear communication and comfort operating in ambiguity.

Competitive Benefits package – Eligibility starts the month after hire, with tiered options to choose from.
Compensation Reviews, Career Growth Opportunities
Flexible Remote Schedules
Generous PTO Plans and Paid Holidays

Data Analyst

Key skills