Analyst

Key Responsibilities

• Collaborate with stakeholders and systems teams to create data products and business use cases that enable informed decision-making for business teams.
• Curate data by applying standard quality and security checks to ensure accuracy and compliance.
• Drive data enablement initiatives to align with the organization’s Data Strategy and DLC products/assets.
• Ensure adherence to regulatory requirements and continuously improve quality-related processes within the scope of responsibility.
• Deliver on data strategy priorities and DLC activities in an agile manner, maintaining proper documentation and clear communication throughout service delivery

Essential Requirements

• 2-3 years’ experience in a Global company as a data steward, engineer, modeler or data scientist 
• 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 
• Hands-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

Desired Requirements

• Exposure to data strategy implementation within large organizations.
• Strong analytical and problem-solving skills with a focus on continuous improvement