Humana Analytics Internship- Summer 2019 in Louisville, Kentucky


As an Analytics Intern, you will collect and analyze data related to various clinical populations, assessing clinical quality, health outcomes, quality of life, and cost. Your work will support Humana’s strategic and tactical progress; improving the health of the members we serve 20% by 2020.


  • Organize and analyze medical and health administration data for the clinical condition populations

  • Participate in analysis and insight development for various clinical populations

  • Aid in the development of algorithms for clinical condition identification based on health care claims

  • Aid in the development and implementation of strategies for Humana

  • Conduct the independent research necessary to fully understand and use clinical data

  • Serve as a subject matter expert for study design and data analysis

  • Understand and communicate the ins and outs of the various data sources supporting analytic results

  • Participate in the development of cutting edge analytic approaches and adoption of new tools

  • Perform additional ad hoc analyses as required

  • Ensure full and clear documentation of all processes

  • Collect and document business requirements for reporting and analysis initiatives Identify and troubleshoot data anomalies and irregularities

Role Essentials

  • Pursuing a master's Degree in Epidemiology, Economics, Mathematics, Statistics, Biostatistics, Engineering, Actuarial Science, or related fields

  • Excited at the prospect of working with extremely large datasets that cover millions of members over multiple years

  • Determined to use data to have a big impact on healthcare delivery in the United States

  • Possess strong quantitative skills and a high level of comfort working with data

  • Strong understanding of methods to reduce study bias (randomization, matching, propensity scoring, etc.)

  • Strong understanding of techniques such as linear and non-linear regression, survival analysis, longitudinal analysis, etc.

  • Strong understanding of epidemiologic concepts such as confounding and interaction

  • 2+ years of experience with data extraction and analysis

  • Strong problem solving and troubleshooting skills, especially around data acquisition and delivery

  • Team player with strong interpersonal relationship, team building, collaboration and facilitation skills

  • Excellent MS Office skills including Excel and PowerPoint

  • Excellent communication skills, written and verbal

  • Strong organizational and time management skills

Role Desirables

  • 2+ years experience with statistical analytic software packages such as SAS

  • Experience in working with large databases

  • Understanding of complex survey analysis methodologies

Scheduled Weekly Hours


About Us

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