GSK
Manager Business Analytics, Vaccines
USA - Pennsylvania - Philadelphia · Hybrid (Remote & On-site) · Manager · Full-time · Posted Oct 6, 2026
- Experience
- 5+ years in the stated experience areas; 3+ experience with relevant analytical approaches and models.
- Education
- Bachelor’s degree in a listed or related field.
About the job
Leads commercial marketing analytics for GSK’s Vaccines Business Unit, translating analysis into insights and decisions that improve business performance.
What you'll do
- Identify performance opportunities and communicate customer and business insights to influence decisions and action.
- Lead marketing analytics, including marketing mix modeling, ROI and campaign measurement, customer targeting and segmentation, and resource allocation.
- Apply advanced analytics, predictive modeling, machine learning, and AI to commercial challenges; use SQL, Python, or R for analyses.
What they ask for
- Bachelor’s degree in Computer Sciences, Mathematics, Engineering, Operations Research, Statistics, Finance/Economics, or a related field.
- 5+ years of experience in pharma commercial analytics, full-time employment in mid-large organizations, or a leading global management consulting firm, focused on Marketing and Customer Analytics.
- 3+ experience with relevant analytical approaches and models, including marketing mix modeling, test vs control, segmentations, clustering methods, promotional response, and digital analytics.
- Strong experience managing and analyzing large secondary transactional datasets and statistical modeling; proficiency with analytical and visualization tools and PowerBI.
Nice to have
- Master’s degree in a listed or related field.
- Commercial analytics focused on vaccines or experience across functions such as call planning, targeting, segmentation, and resource allocation/optimization.
Tools
SQL, Python, R, PowerBI
AI focus
Identify opportunities to apply advanced analytics, predictive modeling, machine learning, and AI to commercial challenges, and increase efficiencies through process and analytics automation.
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