Director, Life Sciences Analytics & Data Solutions

Vizient, Inc.

Centennial (CO)

On-site

USD 118,000 - 206,000

Full time

2 days ago
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Benefits offered by this job

Incentive eligible
Benefits package

Job summary

Vizient, Inc. in the United States seeks a senior analytics leader to design, develop, and scale healthcare analytics solutions across claims, clinical data, and data products.

You will translate client requirements into reusable datasets and models, collaborating with consulting, product, engineering, and data science teams. The role emphasizes building scalable analytics, longitudinal analyses, patient journey and segmentation, with Databricks, Spark, SQL, and Python at the core and a strong

Qualifications

  • Bachelor's degree preferred; advanced analytics or related field a plus.
  • 7+ years of experience with large-scale healthcare data (claims/clinical).
  • Advanced SQL and Python experience; Spark/Databricks a plus.
  • Experience building longitudinal analyses and cohort methodologies.

Responsibilities

  • Lead design, development, and execution of complex analytical solutions using large-scale healthcare datasets.
  • Develop longitudinal patient journey analyses, segmentation, and risk-adjusted models.
  • Translate client requirements into reusable datasets and analytical models.
  • Transform large datasets into standardized, repeatable assets for dashboards and products.
  • Partner with consulting, product, engineering, and data science teams to broaden analytics capabilities.
  • Lead multiple concurrent workstreams and communicate risks and dependencies.

Skills

Healthcare analytics leadership
SQL proficiency
Python proficiency
Communication skills
Cross-functional collaboration

Education

Bachelor's degree in analytics / CS / healthcare

Tools

Databricks
Spark
SQL
Python

Job description

Vizient, Inc. in the United States seeks a senior analytics leader to design, develop, and scale healthcare analytics solutions across claims, clinical data, and data products.

You will translate client requirements into reusable datasets and models, collaborating with consulting, product, engineering, and data science teams. The role emphasizes building scalable analytics, longitudinal analyses, patient journey and segmentation, with Databricks, Spark, SQL, and Python at the core and a strong

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