Data Analyst Intern

Remote, Bengaluru

Answers can be based on college projects, personal projects, or any internship experience. Be specific — generic answers will not be evaluated favorably.

Name *

Email *

Phone Number *

LinkedIn Profile *

Your Resume *

Describe a data pipeline you built or contributed to. What were the source, destination, data volume, and frequency of execution? *

What is the largest dataset you've worked with, and how did you handle performance or scale challenges? *

Describe a time your pipeline or data process broke or failed in any project. What caused it, and how did you fix it? *

How have you handled data quality issues — such as missing values, duplicates, or unexpected schema changes — in a project? *

Have you ever had to optimize a slow query or data transformation? Walk us through what you identified and what you did? *

How did you decide on the data model or schema design in a project you worked on? What tradeoffs did you consider? *

Describe a situation where the data you received didn't match what was agreed upon or expected. How did you handle it? *

How have you used AI tools (such as ChatGPT, Claude, Gemini or similar) in your data engineering projects? Give a specific example of where it helped — and any instance where it led you in the wrong direction or you had to correct it. *

How well do you think you are fit for this role on a scale of 1-5? *

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