
Data Analyst II, Power BI
Centene Corporation
full-time
Posted on:
Location Type: Remote
Location: Arizona • Kansas • United States
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Salary
💰 $56,200 - $101,000 per year
Tech Stack
About the role
- Responsible for analytical data needs
- Handle complex data requests, reports, and predictive data modeling
- Analyze health management programs including: data collection, validation and outcome measurement
- May include: Financial, pharmacy, claims, provider, and member data
- CMS and ad hoc reporting
- Internal data cleansing and data reconciliation analysis
- Trend analysis in various functional areas
- Create and generate reports through MS-Excel, MS-Access, and SQL using Business Objects interface and direct links to core databases (ODS/EDW)
- Write database queries in SQL
- Create visualizations in Power BI
- Produce reports for and interface with senior management and internal and external stakeholders
- Gather and interpret business requirements and monitor data trends to proactively identify issues
- Analyze reports/dashboard to discover business value insights to help operations and customer experience
- Trouble shoot report and data issues
- Create database views
- Attend stakeholder meetings, gather requirements, and propose reporting solutions to meet business needs
- Execute data changes
- Handle multiple projects and timelines effectively and communicate risks and issues to manager regularly
- Assist with training lower level Data Analysts
Requirements
- Bachelor’s degree’s related field or equivalent experience
- 2+ years of statistical analysis or data analysis experience
- Strong working SQL knowledge strongly preferred
- Medicaid, Medicare and Marketplace experience strongly preferred
- Experience with Power BI, Teradata, and Snowflake strongly preferred
Benefits
- competitive pay
- health insurance
- 401K and stock purchase plans
- tuition reimbursement
- paid time off plus holidays
- flexible approach to work with remote, hybrid, field or office work schedules
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analysispredictive data modelingdata validationtrend analysisdatabase queriesdatabase viewsstatistical analysisdata cleansingdata reconciliationreport generation
Soft Skills
communicationproblem-solvingstakeholder engagementproject managementtraining