Healthcare Analytics Leader – Data Commercialization

Lockton Companies

Kansas City (MO)

On-site

USD 180,000 - 260,000

Full time

14 days+
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Job summary

Lockton Companies is seeking an Analytics & Consulting Leader to build and lead a modern analytics team within the data commercialization practice. The role focuses on healthcare analytics, measurement science, and evidence-based insights to improve outcomes and reduce cost of care.

The leader will guide analytics engineers, data analysts, and subject matter experts to deliver trusted, reproducible, and decision-ready analytics using Azure, Databricks, Python, Power BI, and Tableau.

Qualifications

  • Bachelor’s degree or higher in a quantitative field.
  • 10+ years of healthcare analytics, health economics, or related fields.
  • 5+ years leading analytics teams with US healthcare data.
  • Experience with emergency room visits, inpatient admissions, quality measures, and utilization trends.
  • Strong SQL proficiency and cloud analytics experience.
  • Experience with Python, R, or other stats languages.

Responsibilities

  • Develop and execute analytics strategy aligned with goals.
  • Lead a high-performing team of healthcare analysts and measurement experts.
  • Establish governance, metric standardization, data quality, and reproducibility.

Skills

Leadership
Communication
Stakeholder management
SQL
Python
R

Education

Bachelor's degree in Statistics, Economics, Public Health, Biostatistics, Epidemiology, Data Science, Health Services Research, Computer Science
Advanced degree in Biostatistics, Epidemiology, Health Economics, Public Health, Data Science

Tools

Azure
Databricks
Power BI
Tableau
Snowflake

Job description

Lockton Companies is seeking an Analytics & Consulting Leader to build and lead a modern analytics team within the data commercialization practice. The role focuses on healthcare analytics, measurement science, and evidence-based insights to improve outcomes and reduce cost of care.

The leader will guide analytics engineers, data analysts, and subject matter experts to deliver trusted, reproducible, and decision-ready analytics using Azure, Databricks, Python, Power BI, and Tableau.

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