Data Analyst III Healthcare Analytics, Medical Economics

Centene Corporation•Remote-MO, MO
•$70,100 - $126,200

About The Position

The Data Analyst III, Healthcare Analytics, Medical Economics analyzes integrated and extensive datasets to inform business decisions. The role collaborates with business stakeholders to identify areas of value, develop solutions, and deliver insights that reduce the overall cost of care for members and improve clinical outcomes. The analyst works with data from sources such as claims, providers, members, and encounters, and communicates findings and recommendations to internal and external stakeholders. This position contributes to large-scale projects with limited direction, manages multiple tasks and data-review processes, and supports process improvements and automation. It also provides technical guidance to junior analysts. The role requires U.S. work authorization without current or future employment-based visa sponsorship. Centene describes a comprehensive benefits package and a flexible approach to work, with remote, hybrid, field, or office schedules available; the specific workplace arrangement for this position is not stated.

Requirements

  • Bachelor’s degree in business, economics, statistics, mathematics, actuarial science, public health, health informatics, healthcare administration, finance, or a related field, or equivalent experience.
  • At least 4 years of experience working with large databases, data verification, and data management, or at least 2 years of IT experience.
  • Working knowledge of SQL or querying languages.
  • Authorization to work in the United States without the need for current or future employment-based visa sponsorship.

Nice To Haves

  • Master’s degree.
  • Healthcare analytics experience.
  • Knowledge of programmatic coding languages such as Python and R.
  • Knowledge of statistical, analytical, or data-mining techniques, including basic data modeling, trend analysis, and root-cause analysis.
  • Knowledge of modern business intelligence and visualization tools, including Microsoft Power BI.

Responsibilities

  • Interpret and analyze data from multiple sources, including claims, provider, member, and encounter data, and assess the business impact of trends.
  • Develop, maintain, and troubleshoot complex scripts and reports using SQL, Microsoft Excel, or other analytics tools.
  • Contribute to planning and execution of large-scale projects with limited direction from leadership.
  • Assist with designing, testing, and implementing process enhancements and identify opportunities for automation.
  • Identify data irregularities, perform root-cause analysis, and present findings and proposed solutions to leadership and/or customers.
  • Manage multiple variable tasks and data-review processes with limited supervision and meet targeted timelines in a demanding, quickly changing environment.
  • Take ownership of projects and ask probing questions to understand the business value of tasks.
  • Apply quantitative analysis, data mining, and data presentation expertise to understand how customers interact with analytic products.
  • Partner across organizational levels and communicate findings and insights effectively, verbally and visually, to non-technical business partners.
  • Engage independently with customers and business partners to gather requirements and validate results.
  • Present data-driven insights and recommendations to internal and external stakeholders, soliciting and incorporating feedback when required.
  • Provide technical guidance to junior analysts.

Benefits

  • Competitive pay
  • Health insurance
  • 401(k) and stock purchase plans
  • Tuition reimbursement
  • Paid time off and holidays
  • Flexible approach to work, with remote, hybrid, field, or office schedules
  • Additional forms of incentives may be included in total compensation
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