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Senior Commercial Data Analyst
Company | Veeva Systems |
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Location | Boston, MA, USA |
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Salary | $80000 – $130000 |
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Type | Full-Time |
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Degrees | Bachelor’s |
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Experience Level | Senior |
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Requirements
- 5+ years of experience analyzing prescription data and medical claims data (knowledgeable in payer data)
- 5+ years of experience with the principles of data analysis and data quality
- Experience using secondary data for commercial operations & analytics such as field team planning, customer segmentation, or incentive compensation
- SQL skills; able to query and manipulate relational databases
- Knowledge of Industry Standard billing codes such as ICD, CPT/HCPCS, NDC
- Eagerness to learn, a detail-oriented mindset, and a creative approach to problem solving
- Experience illustrating and demonstrating data quality analysis results with key stakeholders (via Excel and/or Tableau)
- Energized by working through complex problems and bringing innovation to products
- Experience using collaboration tools such as Jira and Confluence
- Bachelor’s degree in a STEM or quantitative field, or equivalent technical experience
Responsibilities
- Explore and derive insights from high volumes of prescription data to ensure accuracy, completeness, reliability, relevance, and timeliness
- Execute data querying, cleansing and analysis. Understand impact of missing values, recognize discrepancies, and apply methods for deduplication
- Create SOPs for publishing Compass Prescriber data; ongoing management of delivery operations
- Articulate data quality nuances and issues to stakeholders so that they can understand the root cause and any resolution necessary- Contribute meaningfully to process improvements for the team
- Monitor Compass data and perform investigations to understand impact of various data dynamics to specific customers as well well as broader data product; able to clearly communicate findings and results
- Build expertise on the data in Veeva Compass, contributing to documentation and validation reports
- Exploratory desk research to understand and triangulate prescription & patient volume for specific brands and therapeutic areas
- Collaborate with talented colleagues- Data Scientists, Product Managers, and Developers to ensure data is built and delivered with quality
Preferred Qualifications
- Experience in life science industry
- Experience working with an agile team
- Experience in Python or R is a plus