Analyst - US Commercialization Decision Intelligence & MMx Solutions

Bristol-Myers Squibb; Hyderabad; On-site; INR 600,000 - 900,000; Full time

Job summary

Bristol Myers Squibb Hyderabad is seeking a Decision Analyst I to apply advanced statistical analysis and optimization techniques to support data-driven decision making for US Commercial initiatives and regional growth.

You will build descriptive models, dashboards, and performance metrics, collaborate with Global Analytics, BIT, and Marketing, and translate business questions into analytical tasks under guidance.

Qualifications

• BA/BS degree in life sciences, CS, math, statistics, data science, or engineering.
• 1–3 years of analytics or data science experience.
• Experience with structured datasets and quantitative analyses.
• Exposure to commercial, healthcare, or pharmaceutical analytics is a plus.

Responsibilities

• Apply statistical analysis and optimization to support data-driven decisions.
• Develop descriptive/explanatory models and dashboards.
• Collaborate with US Commercial stakeholders and Global Analytics.
• Translate business questions into analytical tasks and present findings.

Skills

Analytical mindset

Communication skills

Task management

Learner mindset

Team collaboration

Structured thinking

Education

BA/BS in life sciences, CS, math, statistics, data science, or engineering

Tools

Python

R

Tableau

Power BI

Dash

R Shiny

Job description

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.

BMS Hyderabad is an integrated global hub where our work is focused on helping patients prevail over serious diseases by building sustainable and innovative solutions. This important science, technology, and innovation center will support a range of technology and drug development activities that will help us usher in the next wave of innovation.

Decision Analyst I

Summary: The Decision Analyst will play an instrumental role for BMS, as they will be responsible for applying advanced statistical analysis and optimization techniques to support data-driven decision-making processes. The Decision Analyst will develop and implement descriptive/explanatory models, decision support models, segmentation strategies, portfolio analyses, test/experimental designs, and measurement frameworks to provide actionable insights and recommendations that enhance business performance and drive growth in the region.

Roles & Responsibilities

Analytics Delivery & AI Enablement

• Support the development and delivery of analytical solutions under the guidance of senior analysts and team leads.
• Apply foundational analytics, decision science, and AI/ML techniques to support US Commercial initiatives across brand strategy, omnichannel engagement, and resource allocation.
• Translate well-defined business questions into analytical tasks, execute analyses, and summarize findings.
• Ensure accuracy, quality, and adherence to analytical best practices in all deliverables.

Stakeholder Support & Business Understanding

• Collaborate with US Commercial stakeholders, Global Analytics, OCx, Marketing, and BIT to understand business context and analytical requirements.
• Support preparation of analytical outputs, presentations, and dashboards for stakeholder discussions.
• Clearly communicate results, assumptions, and limitations with guidance from senior team members.
• Incorporate stakeholder feedback to refine analyses and outputs.

Omnichannel & Commercial Analytics

• Execute analytics supporting personal and non-personal promotion channels, including field force, email, web, paid media, social, and third-party platforms.
• Support development and tracking of performance metrics related to reach, engagement, and effectiveness.
• Assist in test-and-learn initiatives, A/B tests, and basic quasi-experimental analyses.
• Identify trends, anomalies, and opportunities in data and elevate insights to senior team members.

Team Collaboration & Learning

• Work collaboratively within project teams, contributing to shared goals and timelines.
• Learn and adopt standard analytical frameworks, tools, and coding best practices used by the team.
• Participate in knowledge-sharing sessions, training programs, and peer reviews.
• Demonstrate curiosity and initiative in developing analytical and business skills.

Technical Execution & Data Handling

• Build and maintain datasets, basic models, dashboards, and recurring reports.
• Perform data validation, quality checks, and documentation of analytical processes.
• Work with data engineering and BIT teams to understand data structures and resolve data issues.
• Follow established governance, compliance, and documentation standards.

Skills & Competencies

• Strong analytical mindset with attention to detail and data quality.
• Good written and verbal communication skills, with the ability to explain analyses in simple terms.
• Ability to manage assigned tasks effectively and meet deadlines.
• Willingness to learn new tools, techniques, and business concepts.
• Collaborative and proactive team player with a positive attitude.
• Basic problem-solving skills and ability to apply structured thinking.

Experience & Qualifications

• BA/BS required; degrees in life sciences, computer science, mathematics, statistics, data science, or engineering preferred.
• 1-3 years of professional experience in analytics, data analysis, decision science, or related roles.
• Experience working with structured datasets and performing quantitative analyses.
• Exposure to commercial analytics, marketing analytics, or healthcare/pharmaceutical analytics is a plus.
• Interest in applying data, analytics, and AI to solve real-world business problems.

Technical Skills (Preferred)

• Hands-on experience with Python and/or R for data analysis and basic modelling.
• Familiarity with statistical concepts and introductory machine learning techniques.
• Experience with data visualization and reporting tools (e.g., R Shiny, Dash, Tableau, Power BI, or similar).

Exposure to