Analyst - US Commercialization Decision Intelligence & MMx Solutions
Bristol Myers Squibb (company site, opens in a new tab)1–3 yrsHyderabadOn-siteDirect career pageEst. 8–14 LPA
Posted 16h ago
Reach people at Bristol Myers Squibb
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Bristol Myers Squibb you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Develop and implement analytical models and decision support tools to drive data-driven business insights for US Commercial initiatives.
- Support and execute omnichannel and commercial analytics, including performance tracking, test-and-learn initiatives, and identifying trends in marketing and promotion channels.
- Collaborate with multiple stakeholders to translate business needs into analytical tasks and deliver accurate, high-quality analytical outputs and dashboards.
Minimum Requirements
- Bachelor's degree required; fields preferred include life sciences, computer science, mathematics, statistics, data science, or engineering.
- 1–3 years of professional experience in analytics, data analysis, decision science, or related roles.
- Experience with structured datasets and quantitative analysis; exposure to commercial or healthcare/pharmaceutical analytics is a plus.
- Technical skills preferred: Python and/or R, understanding of statistical concepts and basic ML, and experience with data visualization/reporting tools (e.g., Tableau, Power BI).
Ideal Candidate Profile
- Experienced in supporting US commercial marketing and omnichannel analytics initiatives with foundational decision science techniques.
- Capable of delivering actionable insights through model development, test design, and stakeholder communication under guidance of senior analysts.
- Operates effectively in collaborative and structured analytical environments using modern data tools, adhering to governance and quality standards.