Bristol Myers Squibb Hiring Pharma Forecasting & Data Analytics Analyst

Bristol Myers Squibb Hiring Pharma Forecasting & Data Analytics Analyst – Hyderabad | Medical Jobs India

Mohit March 12, 2026

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Bristol Myers Squibb

Hyderabad

1–3 Years

Data Analytics

Pharma Forecasting

🏢 About Bristol Myers Squibb

Bristol Myers Squibb (BMS) is a global biopharmaceutical company dedicated to discovering, developing, and delivering innovative medicines that help patients overcome serious diseases. The company operates worldwide and plays a major role in advancing healthcare innovation, clinical research, and pharmaceutical analytics.

📌 Job Overview

Role: Pharma Forecasting & Data Analytics Analyst
Company: Bristol Myers Squibb
Location: Hyderabad, India
Experience: 1–3 Years
Department: Commercial Analytics / Forecasting
Salary: ₹9 – ₹16 LPA (Estimated)
Employment Type: Full-Time

📊 Key Responsibilities

Develop patient-based and epidemiological forecasting models.
Create scenario-based forecasting models to support business strategy.
Analyze complex healthcare and pharmaceutical datasets.
Perform predictive analytics and statistical modeling.
Automate forecasting models using Python pipelines.
Collaborate with finance and commercial analytics teams.
Prepare dashboards, reports, and presentations for leadership.
Support decision-making through data-driven insights.

🎓 Eligibility Criteria

Bachelor’s or Master’s degree in Pharmacy
Life Sciences
Engineering
Technology
Data Science

Experience Requirements:

1–3 years experience in forecasting, analytics, or business analysis
Experience in pharmaceutical or healthcare analytics preferred

💻 Technical Skills Required

Python programming
pandas and NumPy
scikit-learn
Predictive modeling
Statistical analysis
Advanced Excel
PowerPoint
VBA / Macros (preferred)

⭐ Benefits of Working at BMS

Exposure to global pharmaceutical analytics projects
Competitive salary and benefits package
Opportunity to work with advanced analytics and AI tools
Hybrid work model
Career growth in commercial analytics and forecasting
Opportunity to impact patient access strategies

🎯 Pharma Analytics Interview Preparation Tips

If you are preparing for pharmaceutical analytics interviews, focus on the following concepts:

Python data analysis (pandas / NumPy)
Predictive modeling and forecasting
Healthcare data interpretation
Statistical analysis techniques

Helpful learning resources:

📌 Note Before You Apply:
Kindly read the job description carefully and ensure your qualifications and analytics experience match the role requirements before applying.