Remote Head of Supplemental Data Analytics

Centene Corp.

Olympia (WA)

Hybrid

USD 108,000 - 199,000

Full time

2 days ago
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Benefits offered by this job

Competitive pay
Health insurance
Remote/hybrid work options

Job summary

Centene Corp. in the United States seeks a seasoned leader to head the Supplemental Data organization, overseeing data collection, validation, and loading of clinical data used to close HEDIS gaps across Medicaid, Medicare and Marketplace.

You will lead a team of Managers serving markets, drive cross-functional data initiatives, and steer company-wide process improvements while ensuring quality, timeliness, and budget adherence.

Qualifications

  • Bachelor’s degree in a data-related field and 8+ years of data analysis experience.
  • Advanced SQL and Microsoft Access skills, with relational database knowledge.
  • Experience with data reporting tools and statistics; knowledge of health care claims data preferred.
  • Master’s degree and supervisory experience preferred.

Responsibilities

  • Lead the Supplemental Data organization, supporting data needs for assigned business unit.
  • Manage a team of Managers serving markets and escalations around supplemental data.
  • Initiate and manage company-wide data process improvements.
  • Oversee cross-functional analytics projects to deliver on schedule, within budget and with high quality.
  • Develop and lead activities to accomplish department goals and communicate them to stakeholders at all levels.

Skills

Advanced SQL
Relational databases
Data reporting tools
Statistics knowledge
High-level mathematical models

Education

Bachelor’s degree in data related field
Master’s degree

Tools

Microsoft Access
Data reporting tools

Job description

Centene Corp. in the United States seeks a seasoned leader to head the Supplemental Data organization, overseeing data collection, validation, and loading of clinical data used to close HEDIS gaps across Medicaid, Medicare and Marketplace.

You will lead a team of Managers serving markets, drive cross-functional data initiatives, and steer company-wide process improvements while ensuring quality, timeliness, and budget adherence.

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