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Data Analyst II Healthcare Analytics
| Company | Centene |
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| Location | Missouri, USA |
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| Salary | $55100 – $99000 |
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| Type | Full-Time |
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| Degrees | Bachelor’s |
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| Experience Level | Junior, Mid Level |
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Requirements
- Bachelor’s degree in business, economics, statistics, mathematics, actuarial science, public health, health informatics, healthcare administration, finance or related field or equivalent experience
- 2+ years of experience working with large databases, data verification, and data management, or 1+ years IT experience
- Working knowledge of SQL/query languages
Responsibilities
- Interpret and analyze data from multiple sources including healthcare provider, member/patient, and third-party data
- Support execution of large-scale projects with limited direction from leadership
- 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
- Support the design, testing, and implementation of process enhancements and identify opportunities for automation
- 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
- Support multiple functions and 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
- Performs other duties as assigned
- Complies with all policies and standards
Preferred Qualifications
- 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
- Experience in provider contracting, claims pricing, financial reporting/analysis, data modeling, statistical modeling, data science, or geospatial/reimbursement analysis preferred
