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Intern AIDE @ Novartis

Hyderabad (Office)OnsiteFull-time
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About this role

Job Description Summary The AIDE Intern will support the team within the Insights & Analytics (I&A) organization, contributing to both business operations delivery and innovation-led initiatives. Job Description Major Accountabilities The role provides hands-on exposure to real-world analytics applications in commercial analytics, enabling the intern to work on data-driven decision-making, process optimization. The intern will collaborate with cross-functional teams to deliver actionable insights, improve operational efficiency, and prototype innovative solutions, while developing strong foundations in data science, analytics, and business problem-solving. A. Business Operations Support

• Assist in data preparation, cleaning, and validation across datasets (e.g., claims, sales, promotional data) • Support execution of multiple analytical frameworks • Help in documentation of workflows, SOPs, and process artifacts to ensure delivery consistency • Collaborate with team members to identify and implement process efficiency improvements B. Analytics & Insight Generation

• Perform exploratory data analysis (EDA) to identify patterns, trends, and insights • Translate analytical outputs into business-relevant insights and recommendations C. Innovation Initiatives

• Contribute to innovation pilots (e.g., Analytical use cases, automation tools, insight generation) • Assist in building prototypes, proof-of-concepts (PoCs), or accelerators • Stay updated with emerging analytical techniques (automation frameworks) and support experimentation • Help document and scale successful innovation use cases D. Collaboration & Learning

• Work closely with team members and business stakeholders • Participate in team discussions, problem-solving sessions, and knowledge sharing Demonstrate a structured approach to problem-solving and communication Key Performance Indicators (KPIs) Delivery & Execution

• Tasks completed within defined timelines • Accuracy and quality of data processing / analysis outputs • Compliance with SOPs, QC standards, and documentation practices Skills:

• Python, SQL, Visualization skills (BI, etc.) Languages :

• English

Skills Desired

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