Bristol Myers Squibb (BMS) is hiring an Analyst – US Commercialization Decision Intelligence & MMx Solutions for its Hyderabad, Telangana location. The role focuses on commercial analytics, decision science, statistical analysis, AI/ML applications, omnichannel performance measurement, and data-driven business decision-making.
Candidates with a bachelor’s degree and 1–3 years of professional experience in analytics, data analysis, decision science, or related fields are eligible to apply, subject to the job requirements.
Job Details
| Particulars | Details |
|---|---|
| Company | Bristol Myers Squibb (BMS) |
| Job Title | Analyst – US Commercialization Decision Intelligence & MMx Solutions |
| Job Requisition ID | R1606764 |
| Job Location | Hyderabad, Telangana, India |
| Job Type | Full-time |
| Experience | 1–3 years |
| Qualification | BA/BS required |
| Application Mode | Online |
Position
Analyst – US Commercialization Decision Intelligence & MMx Solutions
The selected candidate will support US Commercial initiatives by developing analytical solutions, building datasets and models, tracking marketing performance, and translating business questions into actionable insights. The role involves collaboration with commercial stakeholders, Global Analytics, OCx, Marketing, and BIT teams.
Roles and Responsibilities
- Analytics and AI Enablement: Support analytical solutions using foundational analytics, decision science, and AI/ML techniques.
- Business Analysis: Translate business questions into analytical tasks, perform analyses, and summarize findings and recommendations.
- Omnichannel Analytics: Analyze personal and non-personal promotional channels, including field force, email, web, paid media, social, and third-party platforms.
- Performance Measurement: Track reach, engagement, and effectiveness metrics and support test-and-learn initiatives, A/B testing, and basic quasi-experimental analyses.
- Dashboard and Report Development: Build and maintain datasets, basic models, dashboards, and recurring reports.
- Data Quality and Governance: Perform data validation, quality checks, and documentation while following established governance and compliance standards.
- Stakeholder Collaboration: Prepare analytical outputs and presentations, communicate findings, and incorporate stakeholder feedback.
- Team Learning: Follow analytical frameworks and coding best practices and participate in training, knowledge-sharing sessions, and peer reviews.
Eligibility and Qualifications
Candidates must meet the following requirements:
- Bachelor’s degree (BA/BS).
- Preferred degree backgrounds 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 working with structured datasets and performing quantitative analyses.
- Interest in applying data, analytics, and AI to business problems.
Exposure to commercial analytics, marketing analytics, or healthcare/pharmaceutical analytics is an advantage.
Required Skills and Technical Competencies
Candidates should have the following skills and capabilities:
- Strong analytical thinking and attention to data quality.
- Quantitative analysis and structured problem-solving.
- Good written and verbal communication skills.
- Ability to manage tasks and meet deadlines.
- Collaboration and willingness to learn new tools and techniques.
Preferred Technical Skills
- Python and/or R for data analysis and basic modelling.
- Statistical concepts and introductory machine learning.
- Data visualization and reporting tools such as R Shiny, Dash, Tableau, or Power BI.
- Collaborative analytics platforms such as Databricks, Git, and SharePoint.
- Basic understanding of omnichannel marketing, digital marketing, or commercial data sources.
