Data Analyst I (Data Science)


Data Analysts would be expected to be doing following:

  • Analyze Healthcare data, including medical procedures, health conditions and provider practices - with ability to think logically and process sequentially with a high level of detailed accuracy
  • Design innovative analytic methods that improve the accuracy or efficiency of the existing services while meeting the design requirements and project timelines.
  • Apply statistical, predictive modeling and/or data mining techniques to support analytical solutions.
  • Assist in successful completion of deliverables and ensure all requirements are accurately met.
  • Analyze existing procedures to identify system/process changes needed to meet such requirements including but not limited to streamlining processes and quality assurance
  • Ensure that consistent documentation is developed and actively maintained throughout all phases of work.
  • Adhere to industry standards and regulations when developing and maintaining analytic products including, but not limited to, algorithms, predictive models, and risk adjustment models.



  • Preferably Master's Degree or equivalent in Data Analytics, Social Science (e.g., Economics, Statistics), or related area.



  • Must have at least 2 years of relevant analytical experience in the healthcare industry.
  • Have strong background in data analytics, predictive modeling, delivery systems, and current regulatory developments in the industry.
  • Proficient in database applications, including extraction and querying skills. Proficient using SQL to extract data. Intermediate to advanced SAS and/or Python/R skills strongly preferred.
  • Relies on extensive experience and judgment to plan and accomplish goals.
  • Well-organized with the ability to identify priorities and handle several projects simultaneously.
  • Problem solver, resourceful, quick learner, with strong written and verbal communication skills
  • Ability to professionally interact with a diverse group of stakeholders including executives, managers, clients, and subject matter experts.


Sunday, March 31, 2019