Senior Analyst, Credentialing Quality & Data Operations

Hi, we're Oscar. We're hiring a Senior Analyst to join our Credentialing Quality & Data Operations Team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

The Senior Analyst, Credentialing Quality & Data Operations supports the accuracy, quality, compliance, and continuous improvement of credentialing and provider operations. Depending on the assignment, this role may focus on credentialing quality audits, operational and performance analytics, or serving as a subject-matter expert for practitioner and facility credentialing. The Senior Analyst turns findings and data into clear recommendations, resolves complex issues, strengthens controls, and partners across teams to improve provider experiences, regulatory readiness, and member outcomes.

You will report into the Senior Manager of Provider Operations Credentialing.

This position is fully remote and open to candidates residing in the U.S., excluding Alaska;
Delaware;
Hawaii;
Louisiana;
Montana;
North Dakota;
Oklahoma;
West Virginia;
Wyoming; and U.S. Territories. Daily work is completed from your home office, with occasional travel required for team meetings and company events. #LI-Remote

The base pay for this role in the states of California, Connecticut, New Jersey, New York, and Washington is: $68,724 - $90,200.25 per year. The base pay for this role in all other locations is: $61,851.60 - $81,180.23 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program and annual performance bonuses.

• 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.

• 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),

• Experience in a health plan, delegated credentialing entity, credentialing verification organization, provider…