Data Analyst III Healthcare Analytics

Centene Corporation•St. David's, MI

1d•$70,100 - $126,200

About The Position

Centene is seeking a Data Analyst III Healthcare Analytics to analyze integrated and extensive datasets to extract value, directly impacting and influencing business decisions. The role involves collaborating with key business stakeholders to identify areas of value, develop solutions, and deliver insights aimed at reducing overall cost of care for members and improving their clinical outcomes. The analyst will interpret and analyze data from multiple sources including claims, provider, member, and encounters data, and identify and assess the business impact of trends. This position requires contributing to the planning and execution of large-scale projects with limited direction, assisting in process enhancements and automation, and performing root-cause analysis of data irregularities. The successful candidate will manage multiple tasks with limited supervision, demonstrate ownership, and apply expertise in quantitative analysis, data mining, and data presentation to understand customer interactions with analytic products. Effective communication of findings and insights to non-technical partners and independent engagement with customers to gather requirements and validate results are also key aspects of the role. The position also involves providing technical guidance to junior analysts.

Requirements

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 experience.
Working knowledge of SQL/querying languages.
Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. Sponsorship and future sponsorship are not available for this opportunity, including employment-based visa types H-1B, L-1, O-1, H-1B1, F-1, J-1, OPT, or CPT.

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.
Experience in provider contracting, claims pricing, financial reporting/analysis, data modeling, statistical modeling, data science, or geospatial/reimbursement analysis.

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.