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Mid-level, metro role at a well-known pharma with common analytics skills attracts many qualified applicants.
Skills are transferable across industries but measurement and HCP engagement preference increases domain sensitivity.
Explicit 3–5 year requirement plus mandatory analytics, Python/R skills and measurement experience enforces strict filtering.
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Lead measurement and analytics of omnichannel customer engagement, including field, CRM, paid media, digital, and third-party channels.
Design and support AI-informed test-and-learn strategies and experiments to evaluate customer engagement tactics.
Develop, maintain, and communicate advanced attribution models and measurement frameworks to optimize engagement and provide actionable insights to stakeholders.
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, preferably in AI-driven commercial environments.
Proficiency in Python or R for analytical modeling; experience with cloud analytics platforms like Databricks or Snowflake preferred.
Work Experience Required: 3–5 years in relevant analytics roles.
Experienced in delivering end-to-end analytics projects including problem framing and insight delivery with proven stakeholder collaboration skills.
Skilled in advanced measurement methodologies such as multi-touch attribution, Markov chain modeling, and causal inference techniques.
Comfortable working in cross-functional, matrixed environments with ability to communicate complex analytics and AI-enabled findings to both technical and business audiences.