Position Responsibilities
• Ingest, standardize, and analyze pharmacy and medical claims and eligibility files
• Use exploratory data analysis (EDA) to identify general patterns and outlier data points
• Build new and optimize existing ETL processes
• Engage cross-functionality to identify, prioritize and deliver data and analysis requirements
• Partner with stakeholders to ensure data accuracy, consistency, and reliability; prioritize and deliver actionable insights from analytics
• Facilitate a data-driven approach to problem solving by increasing data accessibility across the organization via automated reports and dashboards
• Develop, maintain and QA an automated process to pull data and populate templates for monthly, quarterly, annual reports, including ad hoc client, sales and investor reports
• Present financial reports to clients and prospects
• Build and track effectiveness of rules identified by clinicians to generate engagement opportunities to improve member outcomes and drive savings
• Collaborate with Product, Engineering and marketing to monitor engagement performance, identify new product features, and measure impact
• Partner with external data vendors to securely transfer health data ensuring efficient and correct processing at scale.
Qualifications and Skills
• BS in STEM or other quantitative subject (e.g. economics, finance); MS degree a plus
• 3 years of professional experience analyzing data, generating dashboards and reports, and providing insights derived from research to cross-functional teams
• 2 years of experience working with healthcare data
• Understands and supports business priorities
• Experience working with large, complex healthcare datasets
• Proficiency with SQL
• Understanding of applied statistics
• Ability to distill and communicate analytic results to variety of stakeholders
• Strong problem-solving and communication skills
• Ability to accurately articulate a technically complex subject matter to an audience spanning the technical competency spectrum
• Ability to thrive in a fast-paced environment, and to work independently
• Careful attention to detail, accuracy and deadlines with the ability to multitask on different projects
Preferred Qualifications:
• Experience creating clear deliverables from vague requirements
• Experience with Python and Pandas
• Experience developing advanced models (i.e. machine learning, linear regression)
• Familiarity with working with big data and no-sql databases
• Familiarity with AWS and data visualization platforms like Looker,Tableau, or Sigma Computing
• Self-motivated, creative, curious, attention to detail
• Familiarity with working with source control system, e.g. Github and Github Actions
• Experience with presenting reports to clients and senior management
• Ability to create and maintain standard operating procedures for all data activities
• Experience with Artificial Intelligence
Benefits
• Remote position
• Unlimited time off
• Health insurance
• Excellent company culture