Drimva

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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First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)