The Decision Support Analytics team at Health Business' Enterprise Shared Services (Transformation Office) is looking to solve key business processes and operations problems through statistical analysis and research.
Requirements
- Proficiency in SQL, SAS, R, Python, or related programming languages
- Strong analytical and critical thinking skills, with experience working with statistical methods and tools
- Knowledge of health insurance products, claims, and enrollment and billing
- Experience teaching, mentoring, or coaching analytical resources
- Familiarity with Microsoft Office products and data visualization tools
- 4+ years of related work experience in data science or a related field
- Bachelor's degree in Business Analytics, Health Economics, Statistics, Engineering, Mathematics, Computer Science, Data Science, or a related field (Master's degree preferred)
Responsibilities
- Writes advanced programs for data extraction using SQL; joins multiple tables together, uses complex subqueries and aggregates data to eliminate the need for manual manipulation.
- Reverse-engineers existing programs in order to understand and document the rules behind data extraction.
- Makes use of advanced R, Python or related programming skills to manipulate and analyze very large datasets, prototype complex operational reports, run simulations and/or statistical analysis, and turn Big Data into business-consumable metrics.
- Analyzes data and applies advanced statistical tools and techniques to derive insights and identify areas of opportunity.
- Produces advanced spreadsheets, documents and presentations that are easy to follow (e.g. Excel and PowerPoint).
- Initiates and participates in the peer reviewing of work to ensure the quality of deliverables; leads peer review sessions for major deliverables.
- Serves as a resource and subject matter expert for one or more data sources within the Health Business; can provide advice and guidance on the proper use of data.
Other
- 4+ years of related work experience in data science or a related field
- Bachelor's degree in Business Analytics, Health Economics, Statistics, Engineering, Mathematics, Computer Science, Data Science, or a related field (Master's degree preferred)
- Excellent written and oral communication skills, with experience presenting complex data insights to non-technical stakeholders
- Ability to communicate effectively with internal customers and business partners
- Ability to work in a sedentary environment, exerting up to 10 pounds of force occasionally to move objects
