Humana is seeking a Data Analyst / Informaticist 2 to support medication adherence initiatives by developing and implementing medication adherence methodologies in SAS and using this data to analyze and identify populations.
Requirements
- Must have proficient coding language experience in Python, SAS, and/or C++
- Experience with data mining, predictive modeling techniques and using data to drive business outcomes and decisions
- Comprehensive knowledge of all Microsoft Office applications
- Experience developing data pipelines using Apache Spark (PySpark or Spark SQL)
- Experience with Spark optimization
- Preferred technologies such as Databricks, Power BI, or similar tools
- Six Sigma certification
Responsibilities
- Developing systems, performing analysis, creating reports, and presenting results for initiatives including our Medicare and Medicaid programs, our trend management efforts and more
- Developing and implementing medication adherence methodologies in SAS
- Analyzing and identifying populations using data
- Utilizes advanced or predictive modeling to develop, test and validate cases that improve the outcomes and quality of the programs we offer
- Contributes to more innovative approaches to financial models as it builds knowledge of the business context in which it operates
- Understands and analyzes complex data, articulates to various units within the company at the appropriate level, impacts the business from mathematical concepts which have a potentially sizeable dollar impact on the business
- Makes decisions regarding own work methods, occasionally in ambiguous situations, and requires minimal direction and receives guidance where needed
Other
- Bachelor's degree
- 2+ years of data analysis experience
- Ability to use appropriate problem solving, research and analysis tools
- Strong attention to detail
- Excellent written and verbal communication
- Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required
