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Tier-1 brand, mid-level experience band, and Bengaluru metro location increase candidate competition.
Requires life-sciences SFE and consulting experience, making candidate backgrounds less transferable across industries.
Explicit 3–5 years requirement plus domain SFE and mandatory SAS/Python/R skills increases shortlist strictness.
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Lead and independently execute analytics-driven Segmentation, Targeting, Call Planning, Sizing, and Alignment workstreams within Commercial Excellence and Salesforce Effectiveness projects.
Define analytical approaches and methodologies tailored to client problem statements, translating complex data into clear, client-ready business insights and structured presentations.
Collaborate across cross-functional and cross-location teams to achieve engagement objectives while contributing to proposal development and creating technical project documentation.
Bachelor’s or master’s degree in Statistics, Mathematics, Engineering, or a closely related discipline.
3–5 years consulting experience in analytics, commercial excellence, life sciences, or healthcare domain.
Hands-on experience in Segmentation & Targeting, Call Planning, Sizing including technology-enabled solutions and proficiency in SAS OR Python OR R-Language.
Strong understanding of business processes, market dynamics, decision-making drivers, and exposure to statistical and technical methodologies specifically for S&T use cases.
Consultant with solid background in healthcare or life sciences analytics focusing on sales force effectiveness and commercial excellence.
Experienced in managing defined workstreams independently with strong quantitative and qualitative analytical skills combined with effective storytelling for client presentations.
Comfortable applying statistical and technical methodologies for segmentation and targeting problems while collaborating effectively in diverse, cross-location teams.