Data Analyst II – 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
• 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

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
• Healthcare analytics experience preferred
• Working knowledge of SQL/query 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