Data Analyst Resume Format
India 2025
Looking to land a job as a Data Analyst? The average salary in India is ₹4L - ₹12L. Here's how to build a CV that beats the ATS.
Copy-Paste Professional Summary
Use this professional summary for your Data Analyst resume:
"Analytical Data Analyst with 3+ years of experience in extracting insights from large datasets using SQL, Python, and Excel. Proficient in data visualization tools (Tableau, Power BI) and statistical analysis. Successfully delivered data-driven recommendations that improved business metrics by 25%."
💡 Tip: Customize this summary with your specific achievements and years of experience.
Essential Skills for Data Analyst
Google uses these entities to understand relevance. Make sure to include these in your resume.
Hard Skills
Soft Skills
Common Mistakes to Avoid
Not quantifying achievements (mentioning 'analyzed data' instead of 'analyzed 1M+ records'), missing visualization tools, not highlighting business impact, or failing to mention SQL proficiency explicitly.
How to Pass ATS Filters
Mention SQL variants explicitly (MySQL, PostgreSQL, MS SQL)
List visualization tools separately (Tableau, Power BI, Looker)
Include business metrics and KPIs you've worked with
Mention data size (e.g., 'analyzed 1M+ records')
Industry Context
Data Analyst roles are booming in India across e-commerce (Flipkart, Amazon), fintech (Paytm, Razorpay), and consulting (Deloitte, KPMG). Entry-level roles start at ₹4L, with mid-level reaching ₹12L+.
Frequently Asked Questions
Common questions about Data Analyst resumes in India
Should I include a portfolio or GitHub link for a Data Analyst resume?
Yes! Include links to Tableau Public dashboards, Kaggle notebooks, or GitHub repositories with data analysis projects. This demonstrates practical skills better than just listing tools.
How important is mentioning specific metrics in a Data Analyst resume?
Critical. Instead of 'analyzed sales data,' write 'analyzed 2M+ sales records and identified trends that increased revenue by 15%.' Quantify everything—dataset sizes, percentage improvements, cost savings.
Which tools are most important for Data Analyst roles in India?
SQL is mandatory. Python (Pandas) is highly preferred. Tableau or Power BI for visualization. Excel is still important for Indian companies. Mention all four to maximize opportunities.
Should I mention domain knowledge (e.g., e-commerce, finance)?
Yes! Indian companies value domain expertise. If you've worked in e-commerce, mention 'E-commerce Analytics' or 'Financial Data Analysis.' This helps you stand out in domain-specific roles.
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