Centene-posted 8 months ago
$68,700 - $123,700/Yr
Full-time • Mid Level
Ambulatory Health Care Services

You could be the one who changes everything for our 28 million members. 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. Applicants for this job have the flexibility to work remote from home. Candidate must live in Eastern, Central or Mountain Time Zone. Position Purpose: Analyze integrated and extensive datasets to extract value, which directly impacts and influences business decisions. Work collaboratively with key business stakeholders to identify areas of value, develop solutions, and deliver insights to reduce overall cost of care for members and improve their clinical outcomes. Interpret and analyze data from multiple sources including claims, provider, member, and encounters data. Identify and assess the business impact of trends. Develop, maintain, and troubleshoot complex scripts and reports developed using SQL, Microsoft Excel, or other analytics tools. Contribute to the planning and execution of large-scale projects with limited direction from leadership. Assist in the design, testing, and implementation of process enhancements and identify opportunities for automation. Identify and perform root-cause analysis of data irregularities and present findings and proposed solutions to leadership and/or customers. Manage multiple, variable tasks and data review processes with limited supervision within targeted timelines and thrive in a demanding, quickly changing environment. Demonstrate a sense of ownership over projects and ask probing questions to understand the business value of tasks. Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how customers interact with analytic products. Partner cross-functionally at all levels of the organization and effectively, both verbally and visually, communicate findings and insights to non-technical business partners. Independently engage with customers and business partners to gather requirements and validate results. Communicate and present data-driven insights and recommendations to both internal and external stakeholders, soliciting and incorporating feedback when required. Provide technical guidance to junior analysts.

  • Analyze integrated and extensive datasets to extract value impacting business decisions.
  • Collaborate with key business stakeholders to identify areas of value and develop solutions.
  • Deliver insights to reduce overall cost of care for members and improve clinical outcomes.
  • Interpret and analyze data from multiple sources including claims, provider, member, and encounters data.
  • Identify 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 the planning and execution of large-scale projects with limited direction.
  • Assist in the design, testing, and implementation of process enhancements.
  • Identify opportunities for automation.
  • Perform root-cause analysis of data irregularities and present findings to leadership.
  • Manage multiple tasks and data review processes with limited supervision.
  • Demonstrate ownership over projects and understand the business value of tasks.
  • Apply expertise in quantitative analysis, data mining, and data presentation.
  • Communicate findings and insights to non-technical business partners.
  • Engage with customers and business partners to gather requirements and validate results.
  • Present data-driven insights and recommendations to stakeholders.
  • Provide technical guidance to junior analysts.
  • Bachelor's degree in business, economics, statistics, mathematics, actuarial science, public health, health informatics, healthcare administration, finance or related field or equivalent experience.
  • Master's degree preferred.
  • 4+ years of experience working with large databases, data verification, and data management or 2+ years of IT experience.
  • Healthcare analytics experience preferred.
  • Working knowledge of SQL/querying languages.
  • Preferred 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 preferred.
  • Preferred knowledge of modern business intelligence and visualization tools including Microsoft Power BI.
  • Ability to write SQL queries from scratch is highly preferred.
  • Ability to optimize SQL queries is highly preferred.
  • Experience in emerging trend analysis is preferred.
  • Familiarity with claims payment is preferred.
  • Experience with report/dashboard development, data/report automation, self-service capabilities, data design and integration is preferred.
  • Competitive pay
  • Health insurance
  • 401K and stock purchase plans
  • Tuition reimbursement
  • Paid time off plus holidays
  • Flexible approach to work with remote, hybrid, field or office work schedules
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