Sr. Analyst, US Customer Engagement Measurement & Insights

Bristol Myers Squibb; Hyderabad; Sur place; INR 1 400 000 - 2 100 000; Plein temps

Résumé du poste

Bristol Myers Squibb is seeking a Senior Analyst, Customer Engagement Measurement & Insights to drive AI-enabled analytics for omnichannel engagement across HCP and patient touchpoints. You will deliver campaign performance insights, experiment design support, and data-driven recommendations to influence channel strategy and commercial decisions.

The role requires strong analytics, causal inference, and the ability to translate signals into actionable business recommendations supporting an

Qualifications

• Strong written and verbal communication skills.

Responsabilités

• Deliver omnichannel customer engagement measurement analyses 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.

Connaissances

Communication skills

Description du poste

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.

Senior Analyst, Customer Engagement Measurement & Insights

Role Summary

The Senior Analyst, Customer Engagement Measurement & Insights is an AI-enabled analytics practitioner responsible for supporting the measurement, analysis, and optimization of omnichannel customer engagement across HCP and patient touchpoints. As a part of Customer Engagement Measurement & Insights team, this role delivers campaign performance insights, experimentation outputs, and data-driven recommendations that inform channel strategy, engagement effectiveness, and commercial decision-making. The Senior Analyst executes analyses that feed into attribution models, test-and-learn initiatives, and omnichannel performance reporting. This role requires strong engagement measurement, causal inference, and advanced analytics skills and the ability to translate data-driven signals into clear, actionable business recommendations that support an AI-powered commercial strategy

Roles & Responsibilities

• Customer Engagement Measurement & Analytics DeliveryIndependently 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 SupportSupport 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 & AttributionApply 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 & CommunicationPartner 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 BuildingCollaborate 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 StewardshipBuild 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 clea