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CenterWellPosted 1 week ago
EXPIRED

Clinical Vendor Oversight Senior Informaticist

$97,900–$133,500 year

HybridLouisville, Kentucky, United States

Full TimeSenior LevelBachelors DegreeLargeHEALTHCARE

Job Summary

Integrate data from multiple sources to produce required elements for vendor reporting and analysis. Support routine metrics, dashboard reviews, and ad hoc requests to identify process gaps and performance trends. Apply disciplined analytics to optimize vendor programs, develop and validate cases that improve program outcomes, and derive insights from metrics to support clinical operations. Coordinate with analytics, IT, finance, and business areas to ensure work is completed with insights from subject matter experts. Develop and establish strong relationships with Clinical Vendor Management Professionals, leadership, and external clinical vendors managing Medicare and Medicaid lines of business.

Required Qualifications

  • Bachelor's degree
  • 5+ years of data analytics experience
  • 3+ years of experience with data mining, trend identification, and using data to drive business outcomes, recommendations, actionable insights, and decisions
  • Experience with data management and analytics tools such as SQL & Saas
  • Experience with business intelligence and visualization tools such as Power BI or Tableau and Excel
  • Demonstrated ability in verbal and written communication to articulate and present data findings and insights to all levels, including senior leadership
  • Strong attention to detail
  • Travel may be up to 25%

Desired Qualifications

  • Databricks and/or Snowflake experience
  • Experience with data management and analytics tools such as Python & PySpark
  • Experience applying Lean and Six Sigma principles and methodologies to drive process efficiency and quality
  • Experience using automation tools, like MS Power Automate, to create process efficiencies
  • Experience with healthcare authorization data and claims data
  • Experience mapping disparate sources of data, and creating relational data models and databases

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