Data Analyst with Healthcare experience - Remote
Posted 2025-04-06Position 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
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