Novartis Data Analyst – Core Data Enablement
🏢 About Novartis
Novartis is a global pharmaceutical leader driving innovation through digital transformation, data science, and advanced analytics. The company integrates enterprise data strategies to improve drug development, manufacturing efficiency, and commercial decision-making.
This role sits within the Core Data Enablement team supporting global pharma operations.
📌 Job Overview
Role: Analyst – Core Data Enablement
Location: Hyderabad (Office-Based)
Experience: 2–3 Years
Employment Type: Full-Time
Application Deadline: 27 February 2026
🔬 Role Summary
This pharma data analyst role focuses on enabling data-driven decision-making through data governance, modeling, ETL pipelines, and analytics across Pharma R&D, Manufacturing, Supply Chain, and Commercial operations.
Professionals transitioning from safety and analytics domains can strengthen their knowledge through this Drug Safety Analyst Quiz covering safety data workflows and regulatory concepts.
If you are interested in clinical data analysis and programming workflows, try this Clinical SAS Programming Quiz to test your understanding of clinical data structures and analysis.
🧾 Key Responsibilities
- Collaborate with stakeholders to develop scalable data products
- Perform data quality, compliance, and governance checks
- Support enterprise data strategy & data lifecycle products
- Develop ETL workflows and data transformation pipelines
- Perform data ingestion, unification, anonymization & metadata management
- Write Python scripts for data preparation & analytics
- Design conceptual, logical & physical data models
- Maintain structured documentation in agile environments
- Communicate insights to senior stakeholders
🎓 Essential Qualifications
- B.Tech/M.Tech (CSE, IT, Data Science, Biotech)
- B.Sc/M.Sc (Data Science, Statistics, Computer Science, Life Sciences)
- BCA/MCA, B.Pharm/M.Pharm
- 2–3 years experience in Data Stewardship / Data Engineering / Data Science
🧠 Technical Expertise Required
- Advanced SQL proficiency
- Python scripting & data analytics
- ETL processes & data pipelines
- Data Warehousing (DWH)
- Data modeling methodologies
- Master data & metadata governance
- Data anonymization & compliance standards
⭐ Preferred Skills
- Exposure to AWS or Azure cloud platforms
- Understanding of Gen AI & NLP
- Big data ecosystem familiarity
- Strong analytical & problem-solving mindset
🌍 Why This Role Matters
- Supports enterprise pharma data governance programs
- Aligns with global pharmaceutical data standards
- Exposure to cloud & AI-driven analytics ecosystems
- Work in agile cross-functional environments
- Strengthens digital transformation initiatives
💰 Estimated Salary
₹8,00,000 – ₹12,00,000 per annum (Hyderabad pharma analytics market range)
This role requires strong SQL, Python, and data warehousing knowledge. You may also test your knowledge using our Drug Safety Quiz and Clinical SAS Quiz to strengthen readiness for pharma data roles.
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