Advanced Analytics Governance Analyst Intermediate

What We Offer

The Advanced Analytics Governance Analyst Intermediate owns metadata management for an assigned set of data domains and platforms as part of our enterprise-wide analytics governance strategy. This role ensures that assigned data assets are well-documented, consistently defined, and easily discoverable across the organization, and works directly with data stewards, product owners, and analytics teams to maintain high standards of data clarity, usability, and trust.

This position requires strong communication and organizational skills, an understanding of data governance principles, and the judgment to evaluate metadata quality and determine when definitions meet enterprise standards. The analyst drafts and presents metric definitions and metadata documentation for review by the Analytics Governance Council.

This is a Remote Position

What We're Looking For

• Education:
  • 4 Year / Bachelors Degree, required.
  • Bachelor’s degree in Information Systems, Data Science, Business Analytics, or a related field required. In lieu of a bachelor’s degree, four (4) years of additional relevant experience, beyond the minimum experience requirement, will be considered.
• Experience:
  • Experience in data governance, metadata management, data cataloging, data analysis, or a related field, Preferred.
• Additional Skills (required):
  • Understanding of data modeling, data lineage, and business glossary concepts.
  • Strong verbal and written communication skills, with the ability to translate technical concepts into business-friendly language.
  • Strong attention to detail, with the judgment to evaluate the accuracy and completeness of documentation.
  • Ability to work independently with stakeholders across business and technical domains.
  • Knowledge of healthcare data and analytics.

What You'll Do

• Develop and deploy modern analytics solutions using tools such as Databricks, Power BI, SQL, Python, and Azure
• Develop datasets, data transformations, data marts, semantic models, reports, dashboards, and visualizations
• Develop SQL and data integration processes, including scheduling, exception handling, automation, and slowly changing dimension logic
• Apply physical, logical, and conceptual data model design standards to analytics products
• Partner with customers to clarify requirements and determine analytics metrics and technical approaches
• Create stories, tasks, estimates, and implementation plans for assigned development efforts
• Perform quality assurance, security, performance, deployment, verification, and support activities
• Troubleshoot production, data quality, and performance issues and implement corrective actions
• Create and maintain design, testing, deployment, and support documentation