Senior Commercial Data Analyst, Veeva

• 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 and 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, and 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

Desirable

• 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 the 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 the impact of various data dynamics to specific customers as well as broader data products; 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 and 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