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Data Analyst
Radiology PartnersData Analyst responsible for profiling, analyzing, and remediating data quality issues across healthcare analytics. Collaborating with various teams and leveraging advanced technology for data integrity.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in data quality management, including profiling, cleansing, and standardization, with a strong focus on SQL and advanced Excel skills. Proficient in leveraging AI tools for data analysis and reporting, while collaborating effectively with cross-functional teams in the healthcare domain.
Highest-signal resume keywords
Data Quality ManagementSQL ProficiencyAdvanced Excel SkillsAI Tool UtilizationHealthcare Data Familiarity
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ProfilingData CleansingData StandardizationRoot Cause AnalysisData Quality RulesData IntegrityData GovernanceTest Case DevelopmentReportingDashboard Creation
Soft Skills
Clear CommunicationComfort Operating in Ambiguity
Tools & Technologies
Power BIDatabricksExcelAI Tools
Industry Keywords
Healthcare AnalyticsClinical WorkflowsRevenue CycleProvider CredentialingOperational Workflows
Tech Stack
Tools & technologiesSQL
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 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.
Benefits
Comp & perks- 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