Sr. Analyst, US Customer Engagement Measurement & Insights

At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it. 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. • Analyze HCP and patient journeys, funnels, channel sequencing, and frequency to identify drivers of engagement and opportunities to optimize campaigns. • Track and report channel-level and cross-channel campaign KPIs (e.g., reach, open and click rates, engagement depth, conversion, response, cost efficiency, and downstream impact on prescribing or patient behavior). • 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, Digital Marketing, Campaign Management, Martech/CRM Operations, Media Agency, Web Analytics, and Technology teams to contribute to campaign and channel 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. Team 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 campaign and channel AI-enabled measurement datasets, dashboards, and automated workflows supporting omnichannel engagement analytics. • Work closely with data engineering, technology, and build teams to troubleshoot data issues and provide measurement-driven feedback to enhance commercial solutions. • Exposure of digital platforms and data sources (e.g., Adobe Analytics, Google Analytics, marketing automation, CRM, ad platforms, Veeva) to ensure data quality, tagging accuracy, and reliable campaign reporting. • Ensure analytical outputs are reproducible, well-documented, and aligned with data governance, compliance, and responsible use standards. Skills & Competencies • Strong written and verbal communication skills with the ability to translate complex analytics and engagement insights into clear business outcomes, including AI-generated findings. • Solid project execution and organizational skills, with the ability to manage multiple analytical workstreams in parallel. • Strong analytical thinking and problem-solving skills, with attention to detail, data quality, and measurement rigor. • Hands-on expertise in applied statistics, analytics, and advanced measurement concepts relevant to omnichannel performance. • Familiarity with HCP and patient engagement journeys across digital, field, and media channels. • Collaborative mindset with the ability to work effectively in a matrixed, stakeholder-driven environment. • Curiosity and passion for learning, innovation, and continuous improvement in analytics and measurement. • Campaign performance analysis and optimization mindset, with the ability to turn performance data into actionable campaign recommendations. • Understanding of digital marketing metrics and channel mechanics (e.g., email, programmatic, paid social, search, web). • Stakeholder management with marketing, campaign, and omnichannel teams Experience & Qualifications • BA/BS required; advanced degree preferred in data science, analytics, statistics, mathematics, economi