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Tier-2 consulting brand, remote/hybrid work, and mid-level analytics experience increase competition.
Quantitative forecasting skills transfer across industries, but pharma domain expertise increases specificity.
Explicit 2-4 years, quantitative degree, required tools and client-facing expectations increase screening strictness.
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Develop and apply advanced statistical and forecasting models for pharmaceutical products across various lifecycle stages.
Synthesize diverse data sources to extract insights, guide business and portfolio decision-making, and design custom analyses using tools like R, Tableau, SAS, Visual Basic, and Excel.
Serve as key project contact, communicate findings to clients, create deliverables, and mentor Associates on analytics teams.
Bachelor's or Master's degree in quantitative or analytic disciplines such as operations research, applied mathematics, management science, data science, statistics, econometrics, or engineering.
2-4 years of relevant post-collegiate job experience; PhD may substitute for experience.
Mandated fluency in English and ability to travel as required for client-facing roles.
Must be able to obtain work authorization for intended country of employment; on-line application with full transcripts required.
Experienced in advanced statistical modeling and forecasting, particularly within pharmaceutical or related life sciences sectors.
Comfortable working with multiple analytic tools and synthesizing complex data sets to generate actionable insights.
Capable of managing client relationships and mentoring junior team members while delivering high-quality project outcomes.