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What data analysts in India should know before going online
Data analysts are not regulated, but data protection matters. The Digital Personal Data Protection Act makes it risky to publish anything containing personal data, so never upload customer lists, transaction extracts or employer datasets, even if you think they are anonymised. Use public sources such as government open data portals, RBI and census tables or published statistical releases instead. Analytics hiring in India runs through Naukri, LinkedIn, campus placements and referrals, with many roles in Bengaluru, Hyderabad, Pune, Gurugram and Chennai at captives, consultancies and startups. Interviewers commonly give SQL tests and case questions, so a portfolio showing Indian business contexts, like UPI transaction trends, GST-linked sales data or regional retail patterns, gives them concrete material to discuss.
Common website mistakes data analysts make
- Only famous practice datasets like Titanic survival. Pick problems close to the industry you are targeting and state the business question in the first line.
- Dashboards without explanation. Add a short caption on what the dashboard answers, who would use it and the one insight that matters most.
- Uploading work data or screenshots from your employer. Rebuild the technique on public data and describe the original impact in words only.
- Long notebooks with no summary. Put the recommendation and key chart at the top, with code and details below for reviewers who want depth.
- Tool lists without evidence. For each skill, link to a project that uses it, so interviewers can see actual queries rather than a claimed proficiency level.