Data Analyst III Healthcare Analytics

Centene Corporation•St. David's, MI
•$70,100 - $126,200

About The Position

Analyze integrated, extensive datasets to extract value and influence business decisions. Collaborate with business stakeholders to identify opportunities, develop solutions, and deliver insights that reduce the overall cost of care for members and improve clinical outcomes. The role involves interpreting data from multiple healthcare sources, developing and maintaining analytical scripts and reports, supporting projects and process improvements, investigating data issues, and communicating recommendations to stakeholders. The analyst also provides technical guidance to junior analysts. Candidates must be authorized to work in the United States without current or future employment-based visa sponsorship. Snowflake experience is preferred. A bachelor's degree in a related field or equivalent experience is required; a master's degree is preferred. At least four years of experience working with large databases, data verification, and data management is required. Healthcare analytics, programming, statistical analysis, business intelligence, and finance-related experience are preferred. The listed pay range is $70,100 to $126,200 per year. Centene describes its work as supporting healthier lives and making healthcare more accessible and effective. The company offers a comprehensive benefits package and flexible work arrangements that may be remote, hybrid, field, or office-based; the specific arrangement for this position is not stated. Pay may vary based on skills, experience, education, other job-related factors, and full-time or part-time status. Total compensation may include incentives, and benefits may depend on eligibility. Centene is an equal opportunity employer. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and California Fair Chance Act.

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.
  • Working knowledge of SQL or querying languages.
  • Must be authorized to work in the United States without current or future employment-based visa sponsorship; sponsorship is not available for the listed employment-based visa types.
  • Ability to manage multiple tasks with limited supervision, meet timelines, and work in a demanding, quickly changing environment.
  • Ability to communicate findings and insights to non-technical partners and engage with customers and business partners to gather requirements and validate results.

Nice To Haves

  • Master's degree.
  • Experience with healthcare analytics.
  • Experience using Snowflake.
  • 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.
  • Experience in finance, actuarial science, or accounting.
  • Experience using analytic techniques and tools to explore financial performance trends and/or reconcile financial data.

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 executing large-scale projects with limited direction from leadership.
  • Assist in designing, testing, and implementing process enhancements and identify automation opportunities.
  • 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, meeting 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 cross-functionally at all organizational levels and communicate findings and insights 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

  • Comprehensive benefits package
  • Competitive pay
  • Health insurance
  • 401(k) and stock purchase plans
  • Tuition reimbursement
  • Paid time off and holidays
  • Flexible approach to work schedules, including remote, hybrid, field, or office schedules
  • Potential additional forms of incentives, subject to applicable factors and eligibility
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service