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 teams strategic priorities.

- Synthesize analytical findings into explicit, 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 generation.

f 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.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Business Insights and Analytics / BIA Professional (Hyderabad)
🏢 Bristol-Myers Squibb
📍 Hyderabad