Data Analyst IV
Company | Centene |
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Location | California, USA, Florida, USA, North Carolina, USA, Missouri, USA |
Salary | $86000 – $154700 |
Type | Full-Time |
Degrees | Bachelor’s |
Experience Level | Senior |
Requirements
- Bachelor’s degree in a related field or equivalent experience
- 6+ years of statistical analysis or 3+ years of related IT experience, including data warehouse, coding or ETL experience
- Healthcare experience preferred
- Experience managing projects or heavy involvement in project implementation
- Highly detail-oriented with a strong focus on data accuracy, quality assurance, and quality control
- Demonstrated experience managing or contributing significantly to data-focused projects, including forecasting and predictive modeling
- Strong interpersonal and communication skills, capable of working with both technical and non-technical stakeholders
Responsibilities
- Provide advanced analytical support for business operations in areas such as claims, provider data, member data, clinical data, HEDIS, pharmacy, external reporting
- Extract, load, model, and reconcile large amounts of data across multiple system platforms and sources
- Review data to determine operational impacts and needed actions; elevate issues, trends, areas for improvement and opportunities to management
- Develop reports and deliverables and make recommendations to management
- Model data using MS Excel, Access, SQL, and/or other data warehouse analytical tools
- Assist management in driving business decisions based on data
- Ensure compliance with federal and state deliverable reporting requirements by performing data quality audits and analysis
- Assist with training and mentoring other Data Analysts
- Assist with determining workload and related activities for other Data Analysts
- Perform other duties as assigned
- Comply with all policies and standards
Preferred Qualifications
- Healthcare experience preferred
- Experience managing projects or heavy involvement in project implementation
- Demonstrated experience managing or contributing significantly to data-focused projects, including forecasting and predictive modeling strongly preferred
- Strong interpersonal and communication skills, capable of working with both technical and non-technical stakeholders highly preferred