Nov 9, 2022
As a member of the Corporate Data and Analytics team, you will work with a variety of healthcare-reported data, such as claims, clinical, pharmacy, and lab data, as well as data on healthcare costs, utilization, management, and clinical research, to gather, process, analyze, compile, and present data to help answer business questions and solve business problems. To produce a variety of analyses, you'll use sophisticated statistical techniques and challenging mathematics techniques. You will convert data into visualizations and plain English that can be used to better comprehend, direct, and support the business. Using both programmed and automatic approaches, you will successfully address analytical problems using increasingly complicated analyses such as forecasting, scenario analysis, experimental design, and linear programming. You will also apply your knowledge and expertise to tackle a variety of challenging challenges. This position can be hired as a Level III or Level IV, depending on experience. This will be a virtual/telecommuter position, working from home.
Design, develop, and implement analytics, operational reporting, and trend analysis to support internal and external business customers.
Develop data reports, statistical models and analytics for management using visualization and statistics to understand and solve complex business problems.
Analyze and interpret results using statistical tools and techniques to pinpoint trends and patterns in complex data.
Troubleshoot issues as they arise and independently solve problems.
Prepare documentation on all projects to enable peer review and ensure continuity of data product quality.
Participate in peer review work done by other analysts. Share knowledge of analytics and data in area of specialty.
Consult with internal and external customers to access scope and complexity of projects. Develop and maintain computer programs to support various, often complex, analyses, processes, and reports.
Automate reported analytic products on large data sets.
Search and review industry and/or academic literature and identify appropriate quantitative methodologies.
Bachelor’s Degree in Statistics, Mathematics, Information Systems, Computer Science, Finance, Information Management, Economics or similar quantitative area, or the equivalent of (4) years of work experience in a related field. (Required for both Level III and Level IV)
(5) years of experience in applying quantitative analytics tools, methods and processes, data architecture, database design, data transformation and data management, which includes (3) years of experience with SQL, Python, VBA or other scripting language and (1) year of experience analyzing healthcare-related data. (Required for Level III)
(8) years of experience in advanced quantitative analytics tools, methods and processes, data architecture, database design, data transformation and data management and which includes (5) years of experience with SQL, Python, R, VBA or other scripting language and (3) years of experience analyzing healthcare-related data. (Required for Level IV)
Master’s Degree in quantitative science field preferred.
Experience with advanced analytics and tools.
Experience using a variety of data and data formats.
Technical expertise creating data models, database design, data mining and segmentation.
Strong knowledge and experience with reporting packages, databases, and programming.
Advanced knowledge of statistics and mathematical methods and experience using statistical packages for analyzing datasets.
Adept at queries, reporting and presenting findings using variety of data visualizations.
Ability to apply practical data modeling to build data products.
Working knowledge of medical terminology, medical coding and billing, claims processing procedures and considerations, and clinical data and data requirements.
Knowledge of data requirements associated with PPI.