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Mid-level analytics role at a prominent pharma in metro Hyderabad with common data skills, increasing competition.
Advanced analytics skills are transferable, but pharma HCP/patient engagement preference increases domain specificity.
Explicit 3–5 years requirement plus domain, technical, and pharma experience makes shortlisting highly selective.
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Lead end-to-end measurement analyses to evaluate omnichannel customer engagement effectiveness across multiple channels using AI/ML techniques.
Design and support experimentation strategies (e.g., A/B tests, lift studies) to assess and optimize engagement tactics.
Build and maintain AI-enabled measurement datasets, dashboards, and collaborate closely with commercial and technical stakeholders to operationalize insights.
Bachelor’s degree required; advanced degree preferred in data science, analytics, statistics, mathematics, economics, life sciences, computer science, or engineering.
3–5 years of professional experience in advanced analytics, decision science, or omnichannel engagement measurement, ideally in an AI-driven commercial environment.
Proficiency in Python or R for analytical modeling and data transformation is required.
Work Experience Required: 3–5 years in relevant analytics or measurement roles.
Experienced in advanced statistical and AI/ML methods including multi-touch attribution, causal inference, uplift modeling, and predictive analytics in omnichannel or commercial marketing contexts.
Demonstrated ability to translate complex analytical findings into actionable commercial insights and effectively communicate with cross-functional stakeholders.
Skilled at managing multiple analytical projects independently with strong organizational rigor, and capable of mentoring junior analysts and contributing to scalable analytic frameworks.