Back
Strong employer brand and Bangalore location increase applicant density despite specialized SFE analytics focus.
Role requires life sciences SFE experience and healthcare domain knowledge, limiting cross-industry transferability.
Explicit years, domain-specific SFE experience, and mandatory SAS/Python/R raise shortlisting strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead analytical approach and execute end-to-end quantitative and qualitative analyses on Sales Force Effectiveness (SFE) engagements, including Segmentation, Targeting, Call Planning, and Sizing.
Develop client-ready deliverables with structured presentations and executive-level storytelling to translate complex data into clear business insights.
Own defined workstreams under guidance while collaborating across cross-functional and cross-location teams to meet engagement objectives.
1.5–3 years consulting experience in analytics, commercial excellence, life sciences, or healthcare.
Bachelor’s or master’s degree in Statistics, Mathematics, Engineering, or related discipline.
Hands-on experience with Segmentation & Targeting, Call Planning, and Sizing, including technology-enabled solutions.
Proficiency in SAS OR Python OR R-Language; PowerPoint experience also required.
Experience applying statistical and technical methodologies to SFE or Segmentation & Targeting problems in healthcare or life sciences consulting.
Comfort working independently on analytical frameworks and delivering client-facing communications with clear storytelling.
Skilled in structuring insights into consulting deliverables and familiar with consulting tools and methodologies in the commercial excellence domain.