Senior Healthcare Data Analyst — Mapping & BI Insights

Sentara Health; South Dakota; Vor Ort; USD 107.000 - 157.000; Vollzeit

Benefits dieser Stelle

Medical, Dental, Vision plans

401k/403B with employer match

Paid Time Off

Education Assistance

Tuition Assistance

Zusammenfassung

Sentara Health is seeking a Senior Healthcare Data Analyst to translate vendor data specs into precise mapping documentation and align source data with enterprise data platform structures. You will collaborate with stakeholders, vendors, and technical teams to ensure data is integrated, transformed, validated, and delivered with quality across the analytics ecosystem.

You will leverage advanced Excel, SQL, Power BI, and Databricks to support QA, UAT, and post-deployment validation, while

Qualifikationen

• Bachelor's degree required in analytics, statistics, informatics, business, public health, or related field.
• 3+ years of data analysis, business analysis, data mapping, ETL, data warehouse, or related data environments.
• Advanced Excel, SQL, Power BI, data validation, and Databricks skills.
• Experience with source-to-target mapping, business requirements, and technical specifications.

Aufgaben

• Convert vendor file specifications and business requirements into detailed data mapping documentation.
• Liaise among business stakeholders, vendors, and technical teams for accurate data integration.
• Ensure data is properly integrated, transformed, validated, and delivered in the analytics ecosystem.
• Support data quality, data stewardship, QA, UAT, and post-deployment validation.

Kenntnisse

Microsoft Excel

SQL

Power BI

Data validation

Databricks

Ausbildung

Bachelor's Degree in analytics, statistics, informatics, business, public health, or related field

Tools

SharePoint

Confluence

Jobbeschreibung

Sentara Health is seeking a Senior Healthcare Data Analyst to translate vendor data specs into precise mapping documentation and align source data with enterprise data platform structures. You will collaborate with stakeholders, vendors, and technical teams to ensure data is integrated, transformed, validated, and delivered with quality across the analytics ecosystem.

You will leverage advanced Excel, SQL, Power BI, and Databricks to support QA, UAT, and post-deployment validation, while