ATS score guide for Data Analyst at Razorpay — skills, keywords, resume mistakes, and what it takes to pass Razorpay's screening for Data Analyst roles in India. Use this guide to understand what Razorpay's ATS looks for — and check your own resume with our free AI-powered analyzer.
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These are the skills most commonly required in Razorpay's Data Analyst job descriptions. Make sure they appear verbatim in your resume to pass ATS screening.
These are the most frequent reasons Data Analyst resumes fail to pass Razorpay's ATS or get filtered during recruiter review.
Listing tools without showing the business impact of your analysis
No mention of stakeholder communication or translating data into decisions
Missing SQL complexity — 'used SQL' vs 'wrote complex joins across 5 tables'
Not specifying scale of data handled (rows, GB, frequency)
Omitting dashboard or visualization tools that are standard for the role
Go beyond basic SELECT queries. Mention window functions, CTEs, subqueries, and query optimization. If you've worked with large datasets (millions of rows), explicitly state it. Mention the specific database (PostgreSQL, BigQuery, Redshift) as these matter to employers.
Yes, if the JD mentions it. Python (pandas, NumPy, matplotlib) is increasingly expected. R is valued in more statistical/academic roles. Even basic proficiency is worth noting if it's in the JD — just be honest about your level.
Very important. Most companies want someone who can communicate insights, not just crunch numbers. Mention specific tools (Tableau, Power BI, Looker, Google Data Studio) and link to any public dashboards if you have them. 'Built executive dashboard tracking 12 KPIs' is much stronger than 'created reports'.
Razorpay is India's leading payments infrastructure company. They typically look for candidates with strong fundamentals, measurable impact, and experience at scale. For Data Analyst roles, focus on quantifying your contributions and aligning your experience with the specific challenges Razorpay faces in their domain.
Most Razorpay Data Analyst interviews include an initial screening call, technical rounds (2-3), and a system design/product round depending on seniority. The bar is high — preparation with previous Razorpay interview questions on LeetCode and company-specific research is strongly recommended.
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