Manager, Data Analysis

Centene Corporation

2d•Hybrid

About The Position

Centene is transforming the health of our communities, one person at a time. As a diversified, national organization, you’ll have access to competitive benefits including a fresh perspective on workplace flexibility. This position supports analytic data needs for an assigned business unit, handles complex data requests, and acts as a “go to” person for other Data Analysts. The role involves identifying and prioritizing recurring and ad hoc data analysis needs to enable management to control medical costs and ensure the delivery of quality healthcare to members. It also includes coordinating analysis and development initiatives with cross health plan initiatives and capabilities, performing analysis and reporting, and managing development efforts with technical team liaisons. This includes business requirements gathering and documentation, testing, delivery, and user adoption, while effectively communicating deliverable expectations. The role requires analyzing plan data, including service, clinical, and trend analysis, and developing reports through various data reporting tools. Additionally, it involves managing, mentoring, and training a team of analysts, using ServiceNow to intake, track, and resolve requests/issues, and promoting SQL querying standards and knowledge sharing.

Requirements

Bachelor’s degree in related field or equivalent experience.
5+ years of data analysis experience, preferably in healthcare.
Previous experience as a lead in a functional area, managing cross functional teams on large scale projects or supervisory experience including hiring, training, assigning work and managing the performance of staff.
Advanced SQL and Microsoft Excel skills, relational database knowledge, and various data reporting tool experience preferred.
Knowledge of statistics and application of high level mathematical models in medical and pharmacy claims data preferred.
Understanding of health insurance business, claims payment procedures, strategies and trends in health care government programs preferred.
HEDIS experience and familiarity with healthcare quality measurement programs preferred.
Supplemental data experience (intake, validation, reconciliation, and operational support) preferred.
Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. Sponsorship and future sponsorship are not available for this opportunity, including employment-based visa types H-1B, L-1, O-1, H-1B1, F-1, J-1, OPT, or CPT.

Nice To Haves

Master’s degree preferred.
Advanced SQL and Microsoft Excel skills, relational database knowledge, and various data reporting tool experience preferred.
Knowledge of statistics and application of high level mathematical models in medical and pharmacy claims data preferred.
Understanding of health insurance business, claims payment procedures, strategies and trends in health care government programs preferred.
HEDIS experience and familiarity with healthcare quality measurement programs preferred.
Supplemental data experience (intake, validation, reconciliation, and operational support) preferred.

Responsibilities

Support analytic data needs for assigned business unit.
Handle complex data requests and acts as a “go to” person for other Data Analysts.
Identify and prioritize recurring and ad hoc data analysis needs of the Health Plan to enable management to control medical costs and ensure delivery of quality healthcare to members.
Coordinate analysis and development initiatives with cross health plan initiatives and capabilities.
Perform analysis and reporting to support the Health Plan and Corporate.
Manage development efforts with technical team liaisons, including business requirements gathering and documentation, testing, delivery and user adoption, and effectively communicate deliverable expectations to the Health Plan.
Analyze plan data including service and clinical and trend analysis.
Develop reports through various data reporting tools.
Manage, mentor, and train team of analysts.
Use ServiceNow (and related research workflows) to intake, track, and resolve requests/issues; maintain clear documentation and stakeholder updates.
Promote SQL querying standards and knowledge sharing across the team; support peer reviews and reusable query patterns.