Sr Data Analyst/Scientist

IntusCare is a healthcare analytics platform that synthesizes healthcare data to identify risks, visualize trends, and optimize care for PACE programs. IntusCare empowers care providers to mitigate high-risk events and equips executives with the tools to make informed decisions based on comprehensive clinical and operational data. Our mission is to catalyze data-driven change to achieve high-value, multi-disciplinary care for older adults. In addition, IntusCare offers a broad range of technical assistance and consulting services to support PACE programs under development and existing programs that are growing and evolving to meet the needs of their communities.

• Provide analytical support to Intus’ client delivery, utilization management and risk consulting teams

• Build customer facing analytics apps and dashboards in Sigma Computing

• Build and apply statistical prediction models to improve quality of care

• Develop reusable semantic models, metrics and user-defined functions to support Analytics and Data Engineering teams

• Develop and maintain dashboards and performance metrics to track key population health KPIs

• Document standard operating procedures (SOPs) and best practices

• Assist in ad hoc projects and analyses as required
  
  
  Qualifications:

  • Bachelor's degree in Statistics, Economics, Computer Science, Math, or related field

  • 5 to 10 years of experience in data analysis

  • 5 years of experience in population health or healthcare finance

  • Strong analytical and problem-solving skills with attention to detail

  • Strong understanding of SQL or Python for data manipulation

  • High proficiency with BI and data visualization tools such as Sigma Computing, Looker, Mode, Tableau, and Qlik

  • Strong analytical and problem-solving skills with attention to detail

  • Working knowledge of statistical and machine-learning models is a plus

  • Ability to work collaboratively in a team-oriented environment

  • Strong communication skills and the ability to present findings clearly