Data Analyst IV – Healthcare Analytics

Role Overview

• 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 healthcare provider, member/patient, and third-party data
• Lead the planning and execution of large-scale projects and new reporting tools, translating business goals into actionable solutions
• Identify and resolve data, process, and technical issues and communicate root-cause with stakeholders as appropriate
• 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 business leaders to understand market-specific levers and constraints
• Leverage enterprise reporting tools to rapidly deliver data-driven insights and recommendations
• Research key business problems and proactively identify opportunities for cost and utilization improvements through quantitative analysis
• Communicate and present data-driven insights and recommendations to both internal and external stakeholders, soliciting and incorporating feedback when required
• Mentor junior analysts on analytic best practices and business need fulfilment
• Delegate tasks to junior analysts, providing guidance and validation where required
• Performs other duties as assigned
• Complies with all policies and standards

Requirements

• Bachelor’s degree in business, economics, statistics, mathematics, actuarial science, public health, health informatics, healthcare administration, finance or related field or equivalent experience
• Master's degree preferred
• 5+ years of experience working with large databases, data verification, and data management or 3+ years IT experience
• Healthcare analytics experience preferred
• Experience with table creation and indexing, query optimization, and utilization of stored procedures
• Working knowledge of SQL/querying languages
• 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 emerging trend analysis, financial modeling, claims pricing, contract/network analysis, and/or ROI evaluation preferred
• Familiarity with claims payment, utilization management, provider/vendor contracts, risk adjustment for government sponsored healthcare desired

Tech Stack

• Python
• SQL

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