Analyst, Data & Policy

Job Description:

• Design and conduct advanced descriptive, evaluative, and financial analyses using Medicare and Medicaid administrative data, research files, and public data files
• Draft analysis plans for programmers to implement
• Perform quality-control reviews of R and SAS programming, including statistical analyses of complex survey data and large claims data files
• Create healthcare, policy, and business outcome financial models in Excel or R
• Create informative data visualizations and communicate clear stories from analysis
• Communicate analysis findings and data considerations to project teams, clients, and external audiences through publications and presentations
• Translate data results into policy considerations and deliver data-backed recommendations
• Collaborate across teams and practices on analyses informing clients' policy and business decisions
• Contribute to discussions of policy analysis, data sources, methods, and analytic outputs
• Plan and lead tasks within analytic-focused client projects, presenting plans and results to clients and internal teams

Requirements:

• Minimum 2 years of professional experience analyzing and helping to design analyses of complex Medicare or Medicaid datasets (claims, encounters, public use files, surveys) in healthcare policy or economics
• Professional experience and advanced proficiency in R and Excel analysis
• Experience writing and visualizing research results and translating complex ideas and findings into relevant insights for an intended audience, visually, verbally, and in writing
• A graduate degree in economics, public policy, public health, epidemiology, statistics, mathematics, or another related field, or an undergraduate degree with equivalent work experience
• Experience and ability to prioritize multiple high-priority, complex tasks with competing deadlines
• Strong attention to detail and ability to produce accurate, high-quality deliverables efficiently
• High level of initiative, quick learning ability, and resourcefulness
• Ability to solve problems independently, pivot quickly based on client needs, and work with incomplete information
• Ability to support teams' project work while raising risks, questions, and options to appropriate team members
• Experience independently executing and presenting data analyses in a consulting environment or similar setting
• Preferred: proficiency with SAS programming or code review
• Preferred: experience with Python programming or code review
• Preferred: experience with data visualization in Tableau
• Preferred: experience with Git or GitHub

Benefits:

• Opportunity to work with nationally recognized healthcare experts on high-impact projects
• Skills development to advance your career
• Opportunity to make a difference in people’s lives