From SQL queries to executive dashboards — highlight your data analysis, visualization, and business impact. Built for India's startups, MNCs, and consulting firms.
Make sure these skills are on your resume for maximum ATS matching
AI-generated bullets tailored for Indian job market — use these as inspiration
Built automated reporting dashboard with SQL and Power BI, reducing manual reporting time by 80% and enabling real-time decision making
Analyzed customer behavior data and identified upsell opportunities, driving ₹3Cr in additional revenue through targeted campaigns
Developed data quality framework and cleaned 1M+ records, improving data accuracy from 85% to 99% across all business units
Based on real interviews at top Indian companies
Be ready to write SQL queries on the spot (complex JOINs, window functions, CTEs)
Have examples of turning business questions into data analysis
Know your visualization best practices (when to use bar vs line vs scatter)
Show business acumen — not just technical skills but ability to derive insights
₹4 LPA (fresher) → ₹20+ LPA (senior analyst at top companies)
Salaries vary based on company type (startup vs MNC), location (Bangalore, Mumbai, Delhi), and experience.
SQL (essential), Excel (advanced), Power BI/Tableau, Python (pandas, matplotlib), statistics, A/B testing, and data cleaning. Domain knowledge (finance, marketing, operations) is a plus.
Data analysts focus on descriptive analytics, reporting, and business insights. Data scientists focus on predictive modeling, ML, and advanced statistics. Analysts need less coding and math.
Python is preferred in India. R is used in some analytics firms and research. Python + SQL + Excel is the ideal combination for most analyst roles.
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