Sr. Analyst, US Customer Engagement Measurement & Insights

Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us . Roles & Responsibilities   Customer Engagement Measurement & Analytics Delivery   Independently delivered   measurement analyses   assessing the effectiveness of omnichannel customer engagement   across field, CRM, paid media, owned digital, and third-party channels.   Apply machine learning techniques to   identify   patterns   in customer engagement, channel   synergy , sequencing, pacing, and message performance.   Support the development and operationalization of   measurement frameworks, KPI tracking tools, and performance dashboards   aligned with the team's strategic priorities.   Synthesize analytical findings into clear, structured outputs and actionable recommendations for internal stakeholders and team leads.   Experimentation & Test-and-Learn Support   Support the design and execution of   AI-informed test-and-learn strategies , including A/B tests, lift studies, and incrementality experiments across customer engagement tactics.   Assist   in defining   success metrics, measurement windows, and statistical approaches   to evaluate new engagement strategies.   Contribute to the documentation and socialization of experimental learnings to inform ongoing campaign planning across brands.   Help refine experimentation frameworks to accelerate learning cycles and improve engagement effectiveness.   Advanced Analytics & Attribution   Apply advanced statistical and AI/ML techniques to measure the incremental impact of customer engagement activities.   Support the use of attribution frameworks such as multi-touch attribution, Markov chain   modelling , and causal inference methods (e.g., propensity scoring, matched control).   Contribute to the integration of outputs from   MMx , KDA, and predictive models to support engagement optimization strategies.   Leverage automation to improve speed, consistency, and repeatability of insights delivery.   Stakeholder Partnership & Communication   Partner with US Commercial stakeholders, Brand, Omnichannel Strategy, Field Analytics, CRM, Digital, and Technology teams to contribute to AI-enabled measurement solution design.   Clearly communicate measurement methodologies, assumptions, model limitations, and implications for decision-making to both technical and non-technical audiences.   Contribute to stakeholder presentations and working sessions with structured, insight-driven storytelling focused on impact and commercial actions.

Collaboration & Capability Building   Collaborate within cross-functional and global teams to ensure consistent, scalable, and governed analytical delivery aligned with AI best practices.   Mentor junior analysts on advanced measurement methodologies, analytical rigor, and responsible data usage.   Contribute to the development of reusable analytics frameworks, measurement templates, and best practices that scale across brands.   Promote   high standards   of reproducibility and documentation across all team deliverables.   Technical Execution & Data Stewardship   Build and   maintain   AI-enabled