Senior Analyst, US Customer Engagement Measurement and Insights
About the role
Role Summary
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
We hire for skills and capabilities, not just credentials - if this role excites you, but doesn't perfectly match your resume, we encourage you to apply anyway.
How We Work
Where you work matters - because collaboration, innovation and patient impact happen in many settings. Our roles are structured across four work models: site-essential, site-by-design, field-based and remote-by-design. The model assigned to this role is based on its core responsibilities. Learn more at https://careers.bms.com/ways-of-working.
Supporting People with Disabilities
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Skills
Who can apply
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