Value-Based Care Data Manager & Analytics

Vitae Health Systems

Park Ridge (IL)

Hybrid

USD 125,000 - 135,000

Full time

14 days+

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Job summary

Vitae Health Systems in Park Ridge, IL, seeks a Manager of VBC Data & Analytics to design and maintain the data infrastructure powering value-based care programs, including LEAD ACO. The role leads end-to-end CMS data feeds and analytics platform operations, translating data into actionable insights for leadership, clinicians, and operations teams.

The ideal candidate has 3+ years in healthcare data, strong SQL, and experience with data pipelines and analytics tools, enabling data-driven

Qualifications

  • 3+ years of experience in data engineering, health informatics, or analytics in a healthcare setting.
  • Experience building and managing data pipelines, ETL processes, and data architecture in production.
  • Proficient in SQL and at least one analytics tool (e.g., Python, BI tools).
  • Ability to translate data into actionable insights for leadership and operations.

Responsibilities

  • Design, build, and maintain data infrastructure for VBC programs and LEAD ACO.
  • Own CMS data feeds and ensure timely, accurate data delivery downstream.
  • Manage analytics platform, data quality, access, and refresh schedules.
  • Develop standard and ad hoc reports for leadership and operations.
  • Collaborate with Finance, Compliance, and external partners on data governance.

Skills

SQL
Python
dbt
Snowflake
Databricks
Tableau
Power BI

Education

Bachelor's degree in Data Science or related field
Master's degree preferred

Tools

ETL Tools
CMS Data Feeds

Job description

Vitae Health Systems in Park Ridge, IL, seeks a Manager of VBC Data & Analytics to design and maintain the data infrastructure powering value-based care programs, including LEAD ACO. The role leads end-to-end CMS data feeds and analytics platform operations, translating data into actionable insights for leadership, clinicians, and operations teams.

The ideal candidate has 3+ years in healthcare data, strong SQL, and experience with data pipelines and analytics tools, enabling data-driven

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