Senior Analyst, Customer Engagement Measurement and 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.

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.

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 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.
• 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.

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, 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 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.
• 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, 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.

Practical exposure to LLMs and generative AI as an insight and enablement layer, including prompt design for classification, summarization, and insight generatio

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.

Uniquely Interesting Work, Life-changing Careers
With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

On-site Protocol

BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:

Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.

Supporting People with Disabilities

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

Candidate Rights

BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/

Data Protection

We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection.

Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at TAEnablement@bms.com. Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley.

R1601112 : Senior Analyst, Customer Engagement Measurement and Insights