-Entry level data science associate analyst for delivery and/or operations in a less complex business capability.
Major Accountabilities:
Supports the team in data extraction, cleaning, and preparation from enterprise sources (e.g., Workday, recruitment, HR, or workforce datasets) to enable downstream analytics and modeling.
Performs descriptive and diagnostic analysis using Python / SQL / Excel to answer well‑defined business questions under guidance from senior analysts or data scientists.
Builds reproducible analytics outputs (tables, metrics, trend views, basic visualizations) with clear documentation of assumptions, filters, and calculations.
Assists in model experimentation and evaluation (e.g., feature preparation, validation datasets, result interpretation) for workforce, talent, or AI‑enabled use cases.
Contributes to automation and reporting workflows (Power BI, Power Automate, scheduled data refreshes) to reduce manual effort and improve scalability.
Learns and adheres to data quality, governance, and privacy standards, proactively flagging data gaps or inconsistencies.
Key Performance Indicators:
Delivery on agreed KPIs including business impact
Launch of innovative solutions in projects
Adoption and development of AI/LLM solutions
Customer experience
Skills and Knowledge:
Business Acumen
stakeholder management
Data Science
Gen AI/LLM
Digital capabilities, Effective use of technology
Language:
English
Skills Desired
Budget Management, Business Acumen, Digital capabilities, Effective use of technology (Inactive), Operational Excellence Projects (Inactive), Planning, Project Management, Risk Management, Service Delivery Management, Stakeholder Management

Novartis is an innovative medicines company. Every day, working to reimagine medicine to improve and extend people’s lives so that patients, healthcare professionals and societies are empowered in the face of serious disease. Our medicines reach more than 250 million people worldwide.
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