Data Analyst III (Healthcare Analytics)

Centene Corporation•Remote-MO, MO

2d•$70,100 - $126,200•Hybrid

About The Position

Centene is seeking a Data Analyst III to join their Healthcare Analytics team. This role is crucial in transforming the health of communities by analyzing integrated and extensive datasets to extract value that influences business decisions. The analyst will collaborate with key business stakeholders to identify areas of value, develop solutions, and deliver insights aimed at reducing the overall cost of care for members and improving their clinical outcomes. The position involves interpreting and analyzing data from multiple sources, identifying business impacts of trends, and developing/maintaining complex scripts and reports. The role also includes contributing to large-scale projects, assisting in process enhancements and automation, performing root-cause analysis of data irregularities, and managing multiple tasks with limited supervision in a demanding, fast-paced environment. The analyst will apply expertise in quantitative analysis, data mining, and data presentation, partner cross-functionally, and communicate findings to both technical and non-technical audiences. They will also independently engage with customers to gather requirements and validate results.

Requirements

Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future.
Bachelor’s degree in business, economics, statistics, mathematics, actuarial science, public health, health informatics, healthcare administration, finance or related field or equivalent experience.
4+ years of experience working with large databases, data verification, and data management or 2+ years of IT experience.
Working knowledge of SQL/querying languages.

Nice To Haves

Master's degree preferred.
Healthcare analytics experience preferred.
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 PowerBI.
Experience in emerging trend analysis, financial modeling, claims pricing, contract/network analysis, and/or ROI evaluation preferred.
Familiarity with claims payment, utilization management, provider/vendor contracts, risk adjustment for government sponsored healthcare desired.
Experience in Finance, Actuarial Science, or Accounting preferred.
Experience using analytic techniques & tools to explore financial performance trends and/or reconciling financial data preferred.
Experience with report/dashboard development, data/report automation, self-service capabilities, data design and integration, or data quality and governance preferred.
Experience in risk adjustment, clinical coding, financial reporting/analysis, or CMS/State encounters and regulatory file submissions preferred.
Experience with data mining, population health, and statistical modeling preferred.

Responsibilities

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.