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Healthcare Analyst

Healthcare Analyst

Welltok is pioneering health optimization by connecting consumers with the right programs and resources to optimize their health and reward them for healthy actions and behaviors. Its CaféWell health optimization platform empowers users with personalized activities that are designed to drive healthy habits and active lifestyles. Welltok Ranked #1 in Colorado, #278 Nationwide on Deloitte's 2017 Technology Fast 500. Be part of something big and join our smart, passionate team in changing the way consumers engage in their health.

Key Responsibilities:

This role is focused on developing, operating and evolving analytic and reporting solutions in support of the various Welltok business strategies and operations. The scope of the role includes:

  • Performing in-depth analysis of healthcare data to design, develop, and deliver analytic solutions.
  • Creating predictive models using Welltok’s leading-edge technologies including our machine learning technology. 
  • Supporting Senior Analysts and other team members by generating reports or tabulations that will aid in interpreting model results and help transform those results into actionable recommendations.
  • Using SAS Macros or their equivalents to create new variables to be incorporated into the predictive process.
  • Coordinating the production of regularly scheduled reports, model updates and file scoring jobs for client delivery.
  • Performing and reviewing quality checks on incoming, outgoing and aggregated data in order to identify data anomalies.

Requirements:

Required:

  • Bachelor’s degree or foreign equivalent in Mathematics, Biostatistics, Engineering, Epidemiology, Statistics, Economics or a closely related field.
  • Knowledge of industry standards and practices in descriptive/predictive analytics and reporting concepts.
  • Knowledge of statistical analyses including clinical and financial risk tracking, trend identification, predictive modeling exercises and opportunity assessments.
  • Knowledge, Skills and Abilities:
  • Excellent analytic and problem-solving skills.
  • Experience with one or more of the following programming languages: SAS, SQL, Python, R, Spark. Experience with machine learning a plus
  • Experience working with large datasets including healthcare data such as medical claims, clinical information, demographic data and program activity results.
  • Strong Communications skills for interactions with both internal teams as well as external clients.
  • Extremely detail oriented.
  • Team oriented with a track record of working well with others to achieve common goals.
  • Positive professional attitude with a strong willingness to learn.
  • Ability to take ownership of assigned tasks.
  • Ability to manage multiple competing deadlines.
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