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, economics, life sciences, computer science, or engineering.
* 3–5 years of professional experience in advanced analytics, digital analytics, marketing analytics, campaign analytics, decision science, or omnichannel engagement measurement roles, ideally within an AI-driven commercial environment.
* Proven experience delivering end-to-end analytics and measurement projects, from problem framing to insight delivery.
* Experience managing or supporting campaign performance reporting and optimization across multiple digital and field channels.
* Experience with attribution and impact measurement techniques (e.g., multi-touch attribution, causal inference, uplift modeling) is a strong plus.
* Demonstrated ability to partner with business stakeholders and support data-informed decision-making.
* Experience in pharmaceutical, biotech, or healthcare industries preferred.

* Familiarity with pharma commercial data (e.g., Veeva CRM, Approved Email, rep-triggered email, HCP engagement data, claims/Rx data) preferred.
* Proficiency in Python or R for analytical modeling and data transformation.

* Experience with cloud-based analytics environments (Databricks, Snowflake, or equivalent) preferred.

TECHNICAL SKILLS (PREFERRED)

* Predictive and statistical analytics using Python and SQL, including uplift modeling, drivers analysis, propensity modeling, and causal inference methods.
* Familiarity with attribution frameworks such as multi-touch attribution and Markov chain modeling.
* Experience working with performance metrics, campaign KPIs, and analytics outputs.
* Experience working with performance metrics, model diagnostics, and AI-enabled analytics outputs.
* Data visualization and dashboarding tools (e.g., PowerBI, Tableau, Dash, or similar platforms).
* Experience in collaborative analytics environments (e.g., Databricks, Git-based workflows, SharePoint).
* Familiarity with omnichannel, CRM, digital marketing, and commercial data sources.
* Strong SQL skills for data extraction, t

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