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Data Analyst II Healthcare Analytics
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Job Description
- Req#: 1623917
Employer Industry: Healthcare Analytics
Why consider this job opportunity:
- Salary up to $101,000 per year
- Comprehensive benefits package, including health insurance, 401K, and stock purchase plans
- Tuition reimbursement and paid time off plus holidays
- Flexible work options available: remote, hybrid, field, or office work schedules
- Opportunity to work collaboratively on large-scale projects that impact member care and clinical outcomes
- Commitment to diversity and equal opportunity employment
What to Expect (Job Responsibilities):
- Analyze integrated and extensive datasets to extract valuable insights for business decisions
- Interpret and analyze data from multiple sources, including healthcare providers and third-party data
- Support large-scale project execution with limited direction from leadership
- Identify data irregularities and conduct root-cause analysis, presenting findings to leadership and customers
- Communicate data-driven insights and recommendations effectively to both internal and external stakeholders
What is Required (Qualifications):
- Bachelor's degree in business, economics, statistics, mathematics, actuarial science, public health, health informatics, healthcare administration, finance, or a related field
- Minimum of 2 years of experience working with large databases, data verification, and data management, or 1 year of IT experience
- Working knowledge of SQL/query languages
- Experience with healthcare analytics preferred
- Familiarity with claims payment, utilization management, and risk adjustment for government-sponsored healthcare desired
How to Stand Out (Preferred Qualifications):
- Knowledge of programmatic coding languages such as Python and R
- Experience with modern business intelligence and visualization tools
- Background in emerging trend analysis, financial modeling, claims pricing, contract/network analysis, and ROI evaluation
- Understanding of statistical, analytical, or data mining techniques, including basic data modeling and trend analysis
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