Responsibilities

Analytics Delivery AI Enablement

- Independently deliver high-quality analytical solutions and AI-enabled insights within agreed timelines, under the guidance of a team lead.

- Apply advanced analytics, decision science, and AI/ML techniques to support US Commercial objectives across brand strategy, omnichannel engagement, and resource allocation.

- Translate business questions into analytical approaches, execute analyses, and synthesize findings into actionable recommendations.

- Ensure adherence to analytical best practices, quality standards, and documentation requirements.

Stakeholder Partnership Strategic Support

- Partner closely with US Commercial stakeholders, Global Analytics, OCx, Marketing, and BIT to understand business needs and contribute to solution design.

- Act as a trusted analytical partner by clearly explaining insights, assumptions, and limitations, and supporting decision-making discussions.

- Support prioritization of business requests by providing effort estimates, impact assessments, and analytical recommendations.

- Contribute to stakeholder presentations, readouts, and working sessions with clear, structured storytelling.

Omnichannel Commercial Insights

- Execute analytics supporting omnichannel strategies across personal and non-personal promotion, including field force, email, web, paid media, social, and third-party platforms.

- Support experimental design, test-and-learn initiatives, and quasi-experimental analyses to assess campaign, content, and channel performance.

- Identify optimization opportunities and proactively surface insights to improve commercial effectiveness.

Team Collaboration Capability Building





- Mentor junior analysts through informal coaching, code reviews, and knowledge sharing.

- Contribute to team capability building by sharing best practices, reusable assets, and analytical frameworks.

- Collaborate effectively within cross-functional and global teams to ensure consistent and scalable analytical delivery.

Technical Execution Data Stewardship

- Build and maintain analytical assets including datasets, models, dashboards, and automation workflows.

- Work closely with BIT and data engineering teams to troubleshoot data issues and ensure reliable, timely data availability.

- Ensure analytical outputs are reproducible, well-documented, and aligned with governance and compliance standards.

Skills Competencies

- Strong written and verbal communication skills with the ability to translate complex analytics into clear business insights.

- Solid project execution and organizational skills, with the ability to manage multiple analyses in parallel.

- Strong analytical thinking and problem-solving skills, with attention to detail and data quality.

- Hands-on expertise in applied statistics, analytics, and AI/ML techniques.

- 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.

Experience Qualifications

- BA/BS required; advanced degree preferred, especially in life sciences, computer science, mathematics, statistics, data science, or engineering.

- 3+ years of professional experience in advanced analytics, decision science, or AI-driven roles.

- Proven experience delivering end-to-end analytics projects, from problem framing to insight delivery.

- Demonstrated ability to partner with business stakeholders and support data-driven decision making.

- Experience in pharmaceutical, biotech, or healthcare industries preferred.

- Understanding of how data, analytics, and AI can be applied to solve commercial business problems.

Technical Skills (Preferred)

- Predictive and statistical analytics using Python and/or R; exposure to AI/ML and text analytics (e.g. NLP, clustering, propensity models, uplift modeling).

- Data visualization and dashboarding tools (e.g., R Shiny, Dash, or similar platforms).

- Experience working in cooperative analytics environments (e.g., Databricks, SharePoint, Git-based workflows).

- Familiarity with omnichannel, digital marketing, and commercial data source.

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.

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.

📌 Senior Analyst (Hyderabad)
🏢 Bristol-Myers Squibb
📍 Hyderabad