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
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Assist in data preparation, cleaning, and validation across datasets (e.g., claims, sales, promotional data)
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Support execution of multiple analytical frameworks
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Help in documentation of workflows, SOPs, and process artifacts to ensure delivery consistency
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Collaborate with team members to identify and implement process efficiency improvements
B. Analytics & Insight Generation
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Perform exploratory data analysis (EDA) to identify patterns, trends, and insights
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Translate analytical outputs into business-relevant insights and recommendations
C. Innovation Initiatives
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Contribute to innovation pilots (e.g., Analytical use cases, automation tools, insight generation)
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Assist in building prototypes, proof-of-concepts (PoCs), or accelerators
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Stay updated with emerging analytical techniques (automation frameworks) and support experimentation
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Help document and scale successful innovation use cases
D. Collaboration & Learning
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Work closely with team members and business stakeholders
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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
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Tasks completed within defined timelines
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Accuracy and quality of data processing / analysis outputs
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Compliance with SOPs, QC standards, and documentation practices
Skills:
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Python, SQL, Visualization skills (BI, etc.)
Languages :
