Senior Analyst, Credentialing Data Operations

Oscar Health•Remote, AZ

13h•$61,851 - $80,000•Remote

About The Position

The Senior Analyst, Credentialing Data Operations supports the accuracy, quality, compliance, and continuous improvement of credentialing and provider operations. The role focuses on credentialing quality and operational and performance analytics 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. The position is fully remote for 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 a home office, with occasional travel required for team meetings and company events. The role reports to the Senior Manager of Provider Operations Credentialing. Base pay is $61,851–$80,000 per year, with eligibility for employee benefits, Oscar’s unlimited vacation program, and annual performance bonuses.

Requirements

At least 3 years of relevant experience in healthcare operations, credentialing, quality assurance or audit, provider data, data analysis, or a related field.
Demonstrated ability to assess end-to-end processes, identify risks or data issues, perform root-cause analysis, and drive work to resolution.
Intermediate proficiency with Excel or Google Sheets, including data validation, reconciliation, analysis, and clear presentation of findings.
Strong attention to detail, judgment, and written communication, with the ability to explain complex findings to varied audiences.
Ability to manage multiple priorities independently and collaborate effectively in a regulated, cross-functional environment.
Demonstrated experience analyzing operational datasets and building reports or dashboards.
Ability to learn credentialing concepts and data; extensive credentialing knowledge is not required.

Nice To Haves

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.

Responsibilities

Perform complex operational work across credentialing, provider data, quality assurance, and analytics in accordance with 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.
Analyze large or 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 systems or 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.
Lead or 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.
Perform other duties as assigned.
Comply with all applicable laws and regulations.