PHARMAFull-time
Senior Analyst - US Commercialization Decision Intelligence & MMx Solutions
By Admin · Pharma Sales, Marketing & Commercial
HYDERABAD (IN)HYBRIDPOSTED: 8/17/2026
PHARMAFull-time
HIRING ORGANIZATIONBRISTOL MYERS SQUIBBPharmaceuticals
BR
ROLE DEFINITION & RESPONSIBILITIES
Role Overview
Senior Analyst - US Commercialization Decision Intelligence & MMx Solutions is an analytics-focused role supporting Bristol Myers Squibb's US Commercial organization. The position focuses on advanced analytics, decision science, AI/ML, omnichannel analytics, marketing mix and commercial insights, and resource allocation. The role requires independently delivering high-quality analytical solutions under the guidance of a team lead while partnering with US Commercial, Global Analytics, OCx, Marketing, and BIT stakeholders. The analyst will translate business questions into analytical approaches, develop datasets and models, evaluate commercial performance, identify optimization opportunities, and communicate actionable insights to business leaders.
Analytics Delivery & AI Enablement
Independently deliver high-quality analytical solutions and AI-enabled insights within agreed timelines under team-lead guidance.
Apply advanced analytics, decision science, and AI/ML techniques to support US Commercial objectives.
Support brand strategy, omnichannel engagement, commercial effectiveness, and resource allocation decisions.
Translate business questions into appropriate analytical approaches.
Execute analyses from problem framing through insight generation and recommendation delivery.
Synthesize analytical findings into clear, actionable business recommendations.
Follow analytical best practices, quality standards, governance requirements, and documentation expectations.
Stakeholder Partnership & Strategic Support
Partner closely with US Commercial stakeholders, Global Analytics, OCx, Marketing, and Business Information Technology (BIT).
Understand stakeholder business needs and contribute to analytical solution design.
Act as a trusted analytical partner by clearly communicating insights, assumptions, methodologies, limitations, and implications.
Support data-driven decision-making discussions.
Help prioritize business requests through effort estimates, impact assessments, and analytical recommendations.
Contribute to stakeholder presentations, analytical readouts, working sessions, and business reviews.
Use clear and structured storytelling to communicate analytical conclusions.
Omnichannel & Commercial Analytics
Execute analytics supporting omnichannel strategies across personal and non-personal promotion.
Analyze commercial activity involving field force, email, web, paid media, social media, and third-party platforms.
Support experimental design and test-and-learn initiatives.
Conduct quasi-experimental analyses to evaluate campaign, content, and channel performance.
Identify optimization opportunities across commercial activities.
Proactively surface insights that can improve marketing and commercial effectiveness.
Decision Intelligence & AI/ML
Apply statistical analytics, decision science, predictive analytics, and AI/ML techniques to commercial problems.
Support AI-enabled insight generation and advanced decision-making solutions.
Apply techniques such as NLP, clustering, propensity modeling, and uplift modeling where appropriate.
Use data-driven approaches to evaluate commercial strategies and identify opportunities for optimization.
Connect analytical findings with practical business decisions and resource allocation.
Team Collaboration & Capability Building
Mentor junior analysts through informal coaching, code reviews, and knowledge sharing.
Share analytical best practices, reusable assets, methodologies, and frameworks.
Contribute to development of scalable analytical capabilities across the team.
Collaborate effectively with cross-functional and global teams.
Support consistent and scalable analytical delivery across projects.
Technical Execution & Data Stewardship
Build and maintain analytical datasets, statistical/predictive models, dashboards, and automation workflows.
Work closely with BIT and data engineering teams to troubleshoot data-quality and availability issues.
Help ensure reliable and timely availability of analytical data.
Ensure analytical outputs are reproducible and appropriately documented.
Follow governance, compliance, data-quality, and analytical standards.
Work with collaborative analytics environments such as Databricks, SharePoint, and Git-based workflows.
Technical Skills
Applied statistics and advanced analytics.
Python and/or R for predictive and statistical analytics.
AI/ML techniques and applied machine learning.
Natural Language Processing and text analytics.
Clustering and segmentation techniques.
Propensity modeling.
Uplift modeling.
Experimental design and quasi-experimental analysis.
Data visualization and dashboard development.
R Shiny, Dash, or comparable visualization platforms.
Analytical dataset and model development.
Automation workflows.
Data-quality assessment and troubleshooting.
Databricks, SharePoint, and Git-based collaborative workflows are relevant preferred technologies.
Commercial & Industry Knowledge
Understanding of how data, analytics, and AI can solve commercial business problems.
Omnichannel marketing analytics.
Digital marketing analytics.
Commercial data sources.
Brand strategy and resource allocation analytics.
Pharmaceutical, biotechnology, or healthcare industry experience is preferred.
Communication & Behavioral Competencies
Strong written and verbal communication skills.
Ability to translate complex analytical concepts into clear business insights.
Strong analytical thinking and problem-solving ability.
High attention to detail and data quality.
Strong project execution and organizational skills.
Ability to manage multiple analyses and priorities in parallel.
Collaborative mindset in a matrixed, stakeholder-driven environment.
Curiosity and passion for learning, innovation, and continuous improvement.
Education & Experience
Bachelor's degree required.
Advanced degree preferred, particularly in life sciences, computer science, mathematics, statistics, data science, engineering, or related fields.
Minimum 3 years of professional experience in advanced analytics, decision science, or AI-driven roles.
Proven ability to deliver end-to-end analytics projects from problem framing through insight delivery.
Demonstrated experience partnering with business stakeholders and supporting data-driven decisions.
Pharmaceutical, biotechnology, or healthcare experience preferred.
Working Environment & Flexibility
BMS provides a flexible work environment with an occupancy structure based on the nature and responsibilities of each role.
Occupancy categories can include site-essential, site-by-design, field-based, and remote-by-design roles.
Site-by-design roles may be eligible for hybrid working with at least 50% onsite presence.
Onsite presence may be considered an essential job function where applicable to collaboration, innovation, productivity, and company culture.
The exact occupancy designation for this specific role should be confirmed with BMS during the application process.
Benefits & Employee Support
BMS states that employees have access to competitive benefits, services, and programs designed to support professional and personal goals.
The company emphasizes balance and flexibility in its working environment.
BMS supports reasonable workplace accommodations/adjustments for applicants and employees with disabilities.
BMS promotes inclusion, integrity, accountability, innovation, urgency, and passion.
Company Culture & Mission
BMS focuses on transforming patients' lives through science.
Employees are encouraged to apply individual talents and perspectives in a supportive environment.
The organization emphasizes global participation, inclusion, innovation, accountability, and integrity.
The role provides exposure to commercially important analytics supporting medicines and healthcare decision-making.
REQUIRED VERIFIED SKILLS
Advanced Analytics
Decision Science
Applied Statistics
AI/ML
Predictive Analytics
Python
R
Natural Language Processing
NLP
Clustering
Propensity Modeling
Uplift Modeling
Experimental Design
Quasi-Experimental Analysis
Omnichannel Analytics
Commercial Analytics
Data Visualization
Analytical Modeling
Dashboard Development
Data Quality
Data Stewardship
Data Engineering Collaboration
Reproducible Analytics
Governance
Compliance
End-to-End Analytics
COMPENSATION & REWARDS
Salary: Competitive / Disclosed upon candidate shortlisting
ORGANIZATION CONTEXT & CULTURE
Bristol Myers Squibb is actively hiring for this position.
INDUSTRY: Pharmaceuticals
RECOMMENDED TRAINING
1/5
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