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Strong pharma brand, metro Hyderabad, mid-level generalist analytics role with common technical skills increases competition.
Analytics and ML skills are transferable broadly though pharma/healthcare experience is preferred.
Explicit 3–5 years, required Python/SQL/cloud and analytics modeling create moderately strict shortlisting.
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Measure, analyze, and optimize omnichannel customer engagement across HCP and patient touchpoints using advanced analytics.
Deliver campaign performance insights, experimentation results, and data-driven recommendations to influence commercial decisions.
Build and maintain automated dashboards and reusable analytics frameworks; mentor junior analysts and ensure data governance compliance.
Bachelor’s degree required; advanced degree preferred in Data Science, Statistics, Economics, CS, or related field.
3 to 5 years of experience in advanced analytics, decision science, or omnichannel measurement.
Technical proficiency with Python or R, SQL, cloud platforms (Databricks, Snowflake), and data visualization tools (PowerBI, Tableau, or similar).
Experience with attribution modeling, uplift modeling, causal inference, and familiarity with LLMs/GenAI for classification and insight generation.
Experienced in pharmaceutical/biotech/healthcare domains focused on customer engagement measurement.
Skilled in applying machine learning techniques to channel synergy, sequencing, and message performance analysis.
Capable of managing complex analytics projects including experimental design (A/B tests, lift studies) and cross-channel attribution to optimize engagement outcomes.