Analytics Manager, Anti-Infectives Marketing Insights

GlaxoSmithKline

Durham (NC)

On-site

USD 90,000 - 130,000

Full time

9 days ago

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Job summary

GlaxoSmithKline in Durham, NC is seeking a Business Analytics Manager to drive analytics for the Anti-Infectives portfolio. You will develop and execute commercial analyses to identify opportunities, prioritize initiatives, and guide marketing investments.

You will collaborate with sales, marketing, finance, and CI teams to translate data insights into actionable business decisions, using SAS/R/Python and visualization tools to support targeting, segmentation, and performance measurement.

Qualifications

  • Bachelor's degree in business, computer science, mathematics, engineering, OR statistics or finance.
  • Experience with Python and SQL, plus visualization tools such as Power BI or Tableau.
  • Experience leading analytics workstreams with cross-functional stakeholders.

Responsibilities

  • Execute Marketing Analytics for customer targeting and segmentation.
  • Identify opportunities to drive performance using marketing analytics and communicate insights to influence decisions.
  • Collaborate with CI, Marketing, Sales, Finance, and Technology teams.
  • Create storyboards to communicate data learnings influencing business decisions.
  • Increase efficiencies through analytics automation and data availability for marketing analytics.

Skills

Customer Insights
Data to Insights
Digital Fluency
Influencing Without Authority
Market Knowledge
Scientific Literacy

Education

Bachelor's degree in Business, Computer Sciences, Mathematics, Engineering, Operations Research, Statistics, Finance/ Economics

Tools

SAS
R
Python
PowerBI
Tableau

Job description

GlaxoSmithKline in Durham, NC is seeking a Business Analytics Manager to drive analytics for the Anti-Infectives portfolio. You will develop and execute commercial analyses to identify opportunities, prioritize initiatives, and guide marketing investments.

You will collaborate with sales, marketing, finance, and CI teams to translate data insights into actionable business decisions, using SAS/R/Python and visualization tools to support targeting, segmentation, and performance measurement.

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