Data Analyst III Healthcare Analytics, Medical Economics

Centene Corporation•Remote-FL, FL

2d•$70,100 - $126,200

About The Position

The Data Analyst III, Healthcare Analytics, Medical Economics analyzes integrated, extensive datasets to extract insights that influence business decisions. The role collaborates with business stakeholders to identify opportunities, develop solutions, reduce the overall cost of care for members, and improve clinical outcomes. It interprets data from sources including claims, provider, member, and encounter data, and assesses the business impact of trends. The analyst develops, maintains, and troubleshoots complex scripts and reports using SQL, Microsoft Excel, or other analytics tools; contributes to large-scale projects with limited direction; and helps design, test, and implement process enhancements and automation. The position investigates data irregularities, conducts root-cause analysis, and presents findings and proposed solutions to leadership and customers. The role manages multiple tasks and data review processes within target timelines, takes ownership of project work, and uses quantitative analysis, data mining, and data presentation to understand how customers interact with analytic products. The analyst partners across organizational levels, communicates insights to non-technical audiences, independently gathers customer and business requirements and validates results, and presents recommendations to internal and external stakeholders. The position also provides technical guidance to junior analysts. A bachelor's degree in a relevant field or equivalent experience is required, along with the stated experience working with large databases, data verification and data management, or IT experience. A master's degree and healthcare analytics experience are preferred. The posted annual pay range is $70,100 to $126,200.

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.
Must be authorized to work in the U.S. without employment-based visa sponsorship now or in the future; sponsorship is not available for this opportunity.
Ability to manage multiple tasks and data review processes within targeted timelines and with limited supervision.
Ability to communicate findings and insights to non-technical business partners and present recommendations to stakeholders.

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 PowerBI.
Experience in emerging trend analysis, financial modeling, claims pricing, contract/network analysis, and/or ROI evaluation.
Familiarity with claims payment, utilization management, provider/vendor contracts, and risk adjustment for government-sponsored healthcare.

Responsibilities

Interpret and analyze data from multiple sources, including claims, provider, member, and encounter data, and identify trends and their business impact.
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 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 within targeted timelines and with limited supervision.
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.