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Provide leadership and analytics expertise for developing and supporting predictive models and other analytic algorithms. Catalyze team engagement with business analysts, product managers, communication experts, clinicians and others. Represent analytic/data science perspective within corporate. This position will be responsible for developing and supporting predictive models and other analytic algorithms. The person in this role will partner with business analysts, product managers, communication experts, clinicians and others to seek answers to key business questions through application of statistical analysis and data mining techniques.
Conduct statistical analysis to drive insights and strategic recommendations on member usage and user growth/retention.
Develop models and metrics to track key engagement measures.
Analyze health care claims and application activity data and external data sets to create predictive algorithms to gain insights.
Automates existing models and metrics to track the product performance.
Use statistical and econometric techniques on large datasets to analyze user behavior, engagement, retention, impact and attribution form, marketing, events, Synthesize analysis and results into compelling story lines, and communicate findings to senior executives and business partners.
Evangelize the power of analytics to improve business and operations.
Drive analytics projects across WellCare, from planning and data collection to presentation and decision support.
Other duties as assigned.
Additional Responsibilities:Candidate Education:
Required A Bachelor's Degree in Information Systems
Preferred A Master's Degree in a related field
Required 6 years of experience in data scientist, statistician or comparable quantitative position
Required 3 years of experience in Health care experience
Preferred 2 years experience in leading/supervising others Experience leading analytic teams
Preferred Other Project Management experience
Advanced Demonstrated interpersonal/verbal communication skills
Intermediate Demonstrated written communication skills
Intermediate Ability to work as part of a team
Advanced Ability to work in a fast paced environment with changing priorities
Beginner Other Familiarity with Big Data technologies
Intermediate Other Passion and ability to surface insights from large data sets and build a data-driven narrative
Advanced Other Experience working with large volumes of data using variety of statistical tools and techniques
Intermediate Other Ability to understand complex business problems and break down analytics projects into a structured approach
Intermediate Other Knowledge of data sources, tools, statistical principles and methodologies, and techniques
Licenses and Certifications: A license in one of the following is required: Technical Skills:
Required Intermediate Other Structured Programming Language (e.g., Java, C, Python, etc.)
Required Intermediate Other Database Query construction
Required Intermediate Other Big Data technologies
Required Advanced Other Statistical tools (e.g., SPSS, SAS, ScyPy, etc.)
Required Advanced Microsoft Excel
Required Intermediate Microsoft Project
Preferred Beginner Other Reporting Tools ( tableau, Cognos)