Senior Analyst - Core Data

Location: Hyderabad

Key Responsibilities

• Ensure data curation by applying appropriate standard Quality & Security checks
• Ensures the data Enablement to ensure they are fully aligned and support the Data Strategy and the DLC products / assets
• Ensure compliance with GMP and regulatory requirements and continuous improvement of quality relevant processes within area of responsibility
• Deliver on data strategy priorities and DLC activities in an AGILE manner with appropriate documentation and communication throughout the delivery of services
• Business understanding of pharmaceutical industry and data standards. Domain experience in at least one of the following areas – a) Pharma R&D, b) Manufacturing, Procurement and Supply Chain and c) Marketing and Sales. Experience in working in Pharma / Life Science industry strongly preferred
• Hand on experience in working with ETL process, DWH Concepts, and programming/scripting skills (Python) for data preparation and analysis 
• Excellent SQL Knowledge and zeal to learn new technology stacks
• Understanding of data modeling (conceptual, logical, and physical) using different data modeling methodologies
• Experience in data wrangling including Ingestion, Unification, Anonymization, Search, Master & Meta Data Management and Governance.   
• Excellent communication and presentation skills with consulting and senior stakeholder engagement experience
• Foundational understanding of semantic web principles, big data ecosystem, knowledge of AWS, AZURE Stack and basics of Gen AI, NLP would be an advantage.

Essential Requirements: 

• 3-5 years’ experience in a Global company as a data steward, engineer, modeler or data scientist.
• Strong communication and presentation skills.

Desirable Requirement:

• Act as a data steward supporting multiple use cases, digital lighthouse projects as part of DLC teams collaborating closely with business, data strategy teams and IT.
• Demonstrate superior data stewardship skills along with strong business understanding to and thereby help prepare data for the FAIRification process and turn Novartis data sets into Findable, Accessible, Interoperable and Reusable assets.  
• Bring deep business understanding of pharmaceutical industry and data standards and domain experience in at least one of the following areas – a) Pharma R&D, b) Manufacturing, Procurement and Supply Chain and c) Marketing and Sales