Sr. Commercial Analytics Manager, Omnichannel
Neurocrine Biosciences
June 24, 2026
Remote friendly (San Diego, CA)
United States
Marketing
About The Role
Independently collaborates with organizational stakeholders with a focus on Omnichannel and Marketing, and participates in commercial planning efforts by providing unbiased, objective, actionable analyses.
Your Contributions (include, But Are Not Limited To)
- For assigned areas/projects, independently develops the commercial analytics plan, manages related projects, and collects/manages supporting data
- Works with Omnichannel and Marketing to define goals, metrics, and measurement plans to monitor and refine tactics
- Synthesizes complex primary/secondary information; identifies opportunities; develops conclusions/recommendations for Commercial leadership
- Provides strategic input for annual brand plan, brand/payer strategies, launch plan, and KPIs
- Manages the development of the analytics budget and all approved budgets
- Serves as a consultative, trusted advisor to Commercial leadership and partners with Omnichannel/Marketing teams
- Builds/maintains relationships with key vendors of secondary data and analytics
- Interfaces with marketing agencies to gather data/context and share findings
- Partners with Marketing and Commercial Insights & Analytics to integrate insights across workstreams
- Communicates analytical findings and impacts on business strategy/tactics
- Develops measurement plans for omnichannel engagement (e.g., next best action; integration of field and non-personal touchpoints)
Requirements
- BS/BA + 8+ years (secondary analytics, primary market research, and/or competitive intelligence) in biotech/pharma (CNS, launch, and managed markets preferred)
- OR Master’s + 6+ years
- OR PhD + 4+ years
- Excellent project management/leadership; advanced analytics and consulting skills; strong communication and presentation skills
- Hands-on biopharma market data experience (including patient-level anonymized data and access/reimbursement sources)
- Statistical modeling/optimization knowledge
- Deep understanding of promotional data sets (e.g., Google Analytics, Search, media channels) and consumer data platforms (e.g., Data 360)
- Advanced Excel/PowerPoint/Word
- Strategic understanding of pharma sales/marketing and access/reimbursement
- Ability to evaluate/manage vendors
Independently collaborates with organizational stakeholders with a focus on Omnichannel and Marketing, and participates in commercial planning efforts by providing unbiased, objective, actionable analyses.
Your Contributions (include, But Are Not Limited To)
- For assigned areas/projects, independently develops the commercial analytics plan, manages related projects, and collects/manages supporting data
- Works with Omnichannel and Marketing to define goals, metrics, and measurement plans to monitor and refine tactics
- Synthesizes complex primary/secondary information; identifies opportunities; develops conclusions/recommendations for Commercial leadership
- Provides strategic input for annual brand plan, brand/payer strategies, launch plan, and KPIs
- Manages the development of the analytics budget and all approved budgets
- Serves as a consultative, trusted advisor to Commercial leadership and partners with Omnichannel/Marketing teams
- Builds/maintains relationships with key vendors of secondary data and analytics
- Interfaces with marketing agencies to gather data/context and share findings
- Partners with Marketing and Commercial Insights & Analytics to integrate insights across workstreams
- Communicates analytical findings and impacts on business strategy/tactics
- Develops measurement plans for omnichannel engagement (e.g., next best action; integration of field and non-personal touchpoints)
Requirements
- BS/BA + 8+ years (secondary analytics, primary market research, and/or competitive intelligence) in biotech/pharma (CNS, launch, and managed markets preferred)
- OR Master’s + 6+ years
- OR PhD + 4+ years
- Excellent project management/leadership; advanced analytics and consulting skills; strong communication and presentation skills
- Hands-on biopharma market data experience (including patient-level anonymized data and access/reimbursement sources)
- Statistical modeling/optimization knowledge
- Deep understanding of promotional data sets (e.g., Google Analytics, Search, media channels) and consumer data platforms (e.g., Data 360)
- Advanced Excel/PowerPoint/Word
- Strategic understanding of pharma sales/marketing and access/reimbursement
- Ability to evaluate/manage vendors