Health Analytics Senior Consultant

  • 37214
  • Health - Actuarial
  • |
  • Georgia, United States
  • |
  • Apr 15, 2020
  • Be part of a dynamic team focused on healthcare data and innovation.
  • Work with large health claims and risk datasets such as eligibility data, medical claims and prescription drug claims data from multiple different sources.
  • Develop detailed understanding of medical claims reporting and billing for inpatient and outpatient procedures at a DRG, procedure code/CPT level.
  • Liaison and partner with external healthcare carriers, data vendors and startups.
  • Track and monitor upcoming vendors and startups in the healthcare space in areas such as healthcare navigation, digital health, care delivery etc.
  • Work on cutting edge data analytics tools and build full stack pipelines in R/Python for data ingestion, cleaning and preparation with proper version control.
  • Build statistical and machine learning models to analyze healthcare costs, utilization and major drivers.
  • Prepare consulting deliverables with the use of charts, visualization tools and reporting automation to communicate end-results of technical analyses to a non-technical audience.
  • Assist client teams and actuaries with ad-hoc data related requests by producing reports.
  • Develop validation and quality control methodologies and work with vendors to review datasets.
  • Work on multiple projects and manage timelines, milestones and delivery efficiently.
  • Minimum 7 years’ experience in the health and benefits ecosystem at a data warehouse, consulting firm, health insurance carrier or health analytics team.
  • Four plus years health claims data science experience.
  • Experience working with large health claims datasets.
  • Experience with SQL and scripting languages like R/Python.
  • Proficient in Microsoft Excel, Word, Power Point.
  • Experience with data visualization tools: Tableau/Power BI, ggplot2.
  • Good presentation and communication skills and ability to convey technical analyses and information in a clear manner.
  • Experience in data cleaning, exploratory analysis, predictive analytics.
  • Good applied statistics skills such as distributions, statistical testing, regression etc.
  • Well-developed skills in project management/planning.
  • Bachelor’s degree in actuarial science, mathematics, statistics, computer science or other related fields.
  • Coursework or related certifications in data science, statistics or machine learning.