Since 2014, LARVOL have been providing data and software solutions to support the competitive intelligence needs of the pharmaceutical and life science organizations around the world. We are a SaaS company with an entrepreneurial spirit and the drive to be the best. We do serious business while having fun along the way!
We are looking for a Medicare Claims Data Analyst to join our awesome team on a part-time basis. As the Medicare Claims Data Analyst, your primary responsibility will be to ensure data in our platform is validated, cleaned and ready for any reporting and analytics work. The work will be fast-paced, with evolving needs – requiring flexibility, curiosity, and grace under pressure.
Your background & requirements:
- Must have a minimum of three (3) years of experience working with and understanding Medicaid and Medicare data including data extraction, data manipulation, repository building and data interpretation
- Experience exploring and extracting plan encounter data 837I, 837P, 837D and data from CMS
- Understanding of healthcare Drug codes, diagnosis & procedures codes
- Knowledge of Extract Transform and Load (ETL) frameworks using SQL and analytical tools
- Strong analysis and validation skills
- Proficient in R, SQL, SAS, Python and MS Office tools
- Self-starter, able to work independently & in a fast-paced, high intensity start-up environment
- Bachelor’s or Master’s degree in STEM, public health, finance, economics, or other related field
What you will do:
- Gather and analyze healthcare data from multiple sources (e.g., CMS, Medical claims, Pharmacy claims, Patient/Provider behavior) to extract trends and business insights
- Understand the data structure and assist with developing SQL & SAS codes to store, sort, and retrieve data and build visualizations
- Obtain & integrate data from the data warehouse; apply rules and create appropriate visuals to integrate with our software
- Convert SAS codes to open source like R or Python as required
- Perform and document data analysis, data validation, and data mapping/design
- Perform and review quality checks on aggregated data in order to identify data anomalies
- Develop Excel-based models that are used to evaluate trends, forecast and identify best practices
Pay & Perks:
- Hourly pay of up to $30 based on experience
- 100% remote (anywhere in USA)
- Part-time (10 – 20 hours/week)