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Strong employer brand, mid-level generalist role in a metro with broad toolset increases candidate competition.
Life-sciences domain experience preferred but core analytics skills are transferable, yielding moderate industry specificity.
Explicit Tier‑1 educational requirement plus specific analytics tools and experience make filters highly stringent.
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Create custom data analytics solutions supporting sales and marketing decisions by integrating multiple data sources.
Develop and apply advanced statistical and simulation models (using Excel/VBA, SAS, Alteryx, Visual Basic) to assess business issues and effects of sales/marketing programs.
Communicate analytical results to clients and teams via presentations and reports; develop client relationships and mentor junior associates.
Bachelor's degree in engineering or MSc/BSc/B.Pharma from Tier 1 institutes (IIT/NIT).
2-4 years of experience in quantitative analysis.
Proficiency in statistical modeling, simulation tools including Excel/VBA, SAS, Alteryx, Visual Basic.
Fluency in English with ability to work across global cross-office teams.
Experienced in end-to-end analytics project delivery including problem formulation, solution building, and client engagement.
Skilled in advanced statistical techniques and building complex promotion response and simulation models.
Able to leverage GenAI tools to accelerate analytics workflows while ensuring methodological rigor and output traceability.