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Novartis is hiring a Associate Analyst, Data Science

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Hyderabad (Office)
Posted 2 months ago
39 views

Job Description

Job Description Summary

-Entry level data science associate analyst for delivery and/or operations in a less complex business capability.


 

Job Description

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
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Salary Information

Salary: $12000-20000

🤖 This salary estimate is calculated by AI based on the job title, location, company, and market data. Use this as a guide for salary expectations or negotiations. The actual salary may vary based on your experience, qualifications, and company policies.

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