Support the business team in evaluating trends on utilization of products / services based on historical data - such as care management trends, claim utilization, member attributes, to develop cost effective quality product / services.
Requirements
- Experience in using business tools to query large datasets, e.g., SQL, SAS Enterprise Guide, Claris, Pareo, Optum.
- Ability to work with large data sets from multiple data sources.
- Coding responsibilities will include HIVE, SQL, and Python primarily.
Responsibilities
- Pull and integrate data from disparate sources (e.g. claims, membership/enrollment, etc.)
- Perform quality assurance reviews on data and document the findings
- Interpret, analyze and present key findings to internal team & business partners
- Conduct deal reviews and work with appropriate stakeholders
- Publish the attribution status to all required stakeholders
- Research on issues related to attribution and co-ordinate with required stakeholders to bring it to closure
- Coding responsibilities will include HIVE, SQL, and Python primarily.
Other
- Minimum level of education desired for candidates in this position is a Bachelor's degree or equivalent experience
- 5-7 years of relevant hands on data analysis experience
- 5-7 years of relevant medical claim experience
- Strong Healthcare Insurance data experience
- Demonstrates good written and verbal communication skills.
- Able to present information to various audiences – Technical and Non-Technical
- Excellent communication skills with strong background working directly with coworkers and clientele to identify business objectives and establish requirements
- Worked in a team environment and also coordinated with business/functional team
