Data Analyst III

Centene Corporation•Remote-MO, MO

2d•$70,100 - $126,200•Remote

About The Position

Responsible for analytic data needs of the business unit. Handle complex data projects and act as a lead/resource for other Data Analysts. This Internal Audit Claims role supports claims audit execution through sampling, executive reporting, QA/reconciliation, Power BI/dashboard support, automation validation, bot/AI enablement, and repeatable management-ready analytics. Support Internal Audit Claims analytics, including recurring claims audit sampling, executive reporting, AuditWell support, Power BI dashboard support, error/CAP trend analysis, and repeatable management-ready analytics. Extract, transform, reconcile, and validate large healthcare claims datasets across enterprise data sources, including claims, provider, member, financial, operational, and audit-related data. Perform structured QA, reconciliation, tie-outs, and validation of claims audit reporting, sampling outputs, dashboards, automation results, and executive-ready deliverables. Develop and maintain recurring reports, dashboards, and analytical deliverables using SQL, Power BI, Excel, Snowflake, Teradata, MS SQL Server, or similar data warehouse / business intelligence tools. Partner with audit, data analytics, IT, and business stakeholders to translate reporting, sampling, and automation needs into repeatable data processes, documentation, and validated outputs. Support automation, bot, AI, and process-improvement initiatives through requirements translation, testing support, output validation, documentation, and controlled implementation. Identify data issues, trends, process gaps, and reporting improvement opportunities; communicate findings clearly to management and support timely resolution. Assist with training and mentoring other Data Analysts.

Requirements

Bachelor’s degree in related field or equivalent experience.
4+ years of statistical analysis or data analysis experience.
Advanced SQL experience, including extracting, joining, reconciling, and validating large datasets from enterprise data warehouse environments.
Power BI experience, including Power BI Desktop, Power BI Service, workspace/report maintenance, refresh validation, access/security coordination, and service-account-based reporting processes.
Strong data quality and reconciliation mindset, including structured tie-outs, report validation, issue documentation, and validation of automated reporting outputs.
Ability to translate technical findings into concise, management-ready explanations for audit leadership, business stakeholders, and cross-functional partners.

Nice To Haves

Healthcare claims analytics experience strongly preferred, especially experience with post-pay claims data, claims processing systems, audit/compliance reporting, or quality review processes.
Experience with Snowflake, Teradata, MS SQL Server, EDW, or similar enterprise data platforms.
Experience supporting automation, ETL, API-based processes, C#, .NET, Python, Alteryx, or similar workflow/process-improvement efforts preferred.

Responsibilities

Handle complex data projects and act as a lead/resource for other Data Analysts.
Support claims audit execution through sampling, executive reporting, QA/reconciliation, Power BI/dashboard support, automation validation, bot/AI enablement, and repeatable management-ready analytics.
Support Internal Audit Claims analytics, including recurring claims audit sampling, executive reporting, AuditWell support, Power BI dashboard support, error/CAP trend analysis, and repeatable management-ready analytics.
Extract, transform, reconcile, and validate large healthcare claims datasets across enterprise data sources, including claims, provider, member, financial, operational, and audit-related data.
Perform structured QA, reconciliation, tie-outs, and validation of claims audit reporting, sampling outputs, dashboards, automation results, and executive-ready deliverables.
Develop and maintain recurring reports, dashboards, and analytical deliverables using SQL, Power BI, Excel, Snowflake, Teradata, MS SQL Server, or similar data warehouse / business intelligence tools.
Partner with audit, data analytics, IT, and business stakeholders to translate reporting, sampling, and automation needs into repeatable data processes, documentation, and validated outputs.
Support automation, bot, AI, and process-improvement initiatives through requirements translation, testing support, output validation, documentation, and controlled implementation.
Identify data issues, trends, process gaps, and reporting improvement opportunities; communicate findings clearly to management and support timely resolution.
Assist with training and mentoring other Data Analysts.