Senior Analyst, Customer Engagement Measurement Insights Role Summary

An AI-enabled analytics practitioner responsible for measuring, analyzing, and optimizing omnichannel customer engagement across HCP and patient touchpoints. Delivers campaign performance insights, experimentation outputs, and data-driven recommendations to support commercial decision-making.

Key Responsibilities

Deliver measurement analyses across field, CRM, paid media, digital, and third-party channels
Apply ML techniques to assess channel synergy, sequencing, and message performance
Support design and execution of A/B tests, lift studies, and incrementality experiments
Apply attribution frameworks (multi-touch attribution, Markov chain, causal inference)
Integrate MMx, KDA, and predictive model outputs to drive engagement optimization
Build and maintain dashboards, automated workflows, and reusable analytics frameworks
Communicate findings to technical and non-technical stakeholders
Mentor junior analysts and uphold data governance and documentation standards

Qualifications

BA/BS required; advanced degree preferred (Data Science, Statistics, Economics, CS, or related)
3-5 years in advanced analytics, decision science, or omnichannel measurement
Pharma/biotech/healthcare experience preferred

Technical Skills

Python or R; SQL; cloud platforms (Databricks, Snowflake)
Attribution modeling, uplift modeling, propensity scoring, causal inference
Data visualization (PowerBI, Tableau, or similar)
Familiarity with LLMs/GenAI for classification, summarization, and insight generation

If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

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Senior Analyst, US Customer Engagement Measurement and Insights

Job Description

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