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About the Role
Senior Analyst
Location – Hyderabad #LI Hybrid
Your responsibilities include, but not limited to:
- Help in creation of data products/business use cases to by working with relevant data owners, systems to solve and enable business team’s decision making.
- 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
- Deliver on data strategy priorities and DLC activities in an AGILE manner with appropriate documentation and communication throughout the delivery of services
Education: Bachelors/ master’s in computer sciences / IT or other quantitative science.
Minimum Requirement:
- 4-6 years of experience in a Global company as a data analyst, 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, c) Marketing and Sales d) Market access and e) Commercial. 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 modelling (conceptual, logical, and physical) using different data modelling methodologies
- 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
- Ability to utilize AI for activity optimization would be a plus
What you’ll bring to Role:
- Act as a data person supporting multiple use cases, projects as part of DLC teams collaborating closely with business, data strategy teams and IT
- Bring deep business understanding of pharmaceutical industry and data standards and domain experience that helps to solve the business problems with a deep technical expertise
- Provide Data analytics support to Novartis internal customers (CPOs & Regional marketing and sales teams) on various low-medium complexity analytical reports.
- Support and facilitate data enabled decision making for Novartis internal customers by providing and communicating qualitative and quantitative analytics.
- Support IDS business in building practice by involving in various initiatives like knowledge sharing, on-boarding and training support, support team lead in all business-related tasks / activities, building process documentation and knowledge repositories.
- To be an integral part of a comprehensive Data Enablement team responsible for enabling business Decision.
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture
Benefits and Rewards: Learn about all the ways we’ll help you thrive personally and professionally.
Read our handbook (PDF 30 MB)
Accessibility and accommodation
Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to diversityandincl.india@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
