SCAN Group is looking to solve issues facing older adults by leveraging data science to generate meaningful insights for Net Promoter Score, Member Satisfaction and Voluntary Disenrollment, enabling data-driven business decisions for SCAN's strategic initiatives.
Requirements
- 5+ years experience using quantitative methods: Modeling, machine learning, feature creation, construct analysis, multivariate statistical analysis and model building, and predictive modeling
- 2+ years of experience writing SQL code in relational database environment
- 4+ years of experience writing statistically-related code in ‘R’, Python, or Matlab (or equivalent), SAS
- Advanced knowledge of Text analytics techniques in a scripting language required
- Knowledge of Tableau is a highly preferred for data visualization and analysis
- Clinical code knowledge related to claims/utilization, preferred
- Ability to document processes and analyses for reference/re-use, required
Responsibilities
- Lead the Voice of the Customer (VOC) analysis of structured and unstructured data. This includes creation of VOC surveys, data streams, data structures, and Tableau dashboards for front line staff, management and executive level use.
- Contribute to marketing efforts by providing a data expertise for brand assessment surveys, quantitative surveys, vendor interaction, automation, NPS management, and dashboard development.
- Connect structured and unstructured data across the organization quickly to provided time sensitive data insights. Data sources including operational data, prospect data, call center data, core admin data, provider data, VOC data, clinical data, and external data.
- Drive implementation of scalable advanced analytics such as machine learning, text analytics, speech analytics, and data munging to derive insights from previously untapped data.
- Drive implementation of specific recommendation engines/predictive models to predict specific business outcomes related to Voluntary Disenrollment, MSAT and Net Promoter Score. This includes designing the model, testing the model, training the model and maintaining the model to drive richer insights.
- Coordinate activities with analytics vendors to create requirements, test models, train models, communicate findings with the business, and support the model going forward.
- Plan, organize, and prioritize assigned projects, creating and managing work plans that reflect the tasks, timeframes, and processes required to successfully complete each project.
Other
- Interact with IT and business stakeholders at various levels of the organization. This includes ability to create presentations to tell the story behind the data, and represent the business or IT perspective in appropriate instances.
- Support the customer insights data analyst intern program by providing mentorship for the interns.
- Maintain professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; participating in professional societies.
- Contribute to team effort by maintaining collegial, collaborative relationships.
- We seek Rebels who are curious about AI and its power to transform how we operate and serve our members.
