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Novartis Hyderabad is initiating a data enablement team to turn rich data resources into strategic assets and actionable insights across the organization.
The Senior Analyst will help create data products, ensure data quality, and support data strategy priorities in an AGILE environment, collaborating with data owners, IT, and business units.
20+ years of untapped data waiting to be explored. The digital revolution is changing everything, especially in pharmaceuticals, and Novartis has embraced a bold strategy to drive a company-wide digital transformation. With this mission, we are setting up a team at Novartis Hyderabad, which would work with the Chief of Data, Novartis Business units and industry leading technology partners, to drive the execution of Novartis’ data strategy, turning its rich data resources into real strategic assets to drive actionable insights across the organization. This ambition is one of key pillars in the broader digital transformation happening at Novartis to be a medicines and data science company.
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
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