Senior Analyst, Credentialing Quality & Data Operations
About the role
About the role
Work Location
excluding
Pay Transparency
Responsibilities
- Perform complex operational work across credentialing, provider data, quality assurance, and analytics following applicable requirements, policies, procedures, and service-level expectations.
- Evaluate practitioner and facility credentialing records, workflows, source documentation, and system data for accuracy, completeness, timeliness, consistency, and compliance.
- Plan and complete risk-based or routine quality audits; select samples, document evidence, score results, identify error patterns, and communicate clear, supportable findings.
- Analyze complex datasets using spreadsheets, reporting tools, database queries, or other analytical methods to measure quality, productivity, timeliness, inventory, and operational performance.
- Build, maintain, and validate reports, dashboards, metrics, and monitoring controls; investigate data anomalies and reconcile information across sources of truth.
- Perform root-cause analysis and translate audit results, data trends, and operational insights into corrective and preventive actions, process improvements, and measurable recommendations.
- Be a credentialing resource on practitioner and facility requirements, including initial credentialing, recredentialing, verification, file review, committee preparation, delegated activities, and related provider data dependencies.
- Support remediation of complex quality, data, or credentialing issues; track action plans through closure and validate that corrective actions are effective and sustained.
- Coach team members and share subject-matter guidance.
- Manage assigned projects, analyses, audits, escalations, and caseloads independently while meeting quality, documentation, and timeliness expectations.
- Other duties as assigned.
Requirements
- 3+ years of relevant experience in healthcare operations, credentialing, quality assurance or audit, provider data, data analysis, or a related field.
- 1+ years of identifing risks or data issues, perform root-cause analysis, and driving work to resolution.
- Intermediate proficiency with Excel or Google Sheets, including data validation, reconciliation, analysis, and clear presentation of findings.
- Experience conducting healthcare credentialing quality audits, documentation, and corrective-action follow-up
- Experience analyzing operational datasets and building reports or dashboards; extensive credentialing knowledge is not required, though the ability to learn credentialing concepts and data is essential.
- Knowledge of practitioner and facility credentialing (including primary-source verification and regulatory requirements),
Bonus points
- Experience in a health plan, delegated credentialing entity, credentialing verification organization, provider organization, or other regulated healthcare environment.
- Proficiency with SQL, BigQuery, or a similar query language and experience working with large datasets, data models, visualization tools, or business-intelligence platforms.
- Experience using credentialing, provider data, workflow, ticketing, or audit-management systems.
- Knowledge of NCQA, CMS, state, federal, and delegated-oversight requirements relevant to credentialing operations.
- Relevant professional certification or formal training in credentialing, healthcare quality, auditing, compliance, or data analytics.
This is an authentic Oscar Health job opportunity.
At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives.
Pay Transparency
Artificial Intelligence (AI)
Reasonable Accommodation
California Residents
Not included in the source posting: about the role, benefits.
Skills
Who can apply
The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.
Read automatically from the employer's posting text. Always confirm with the employer — requirements can change after a job is published.