ATS: Keka HR
Expert Verified
35 ATS Keywords Inside

Razorpay Data Analyst Resume Guide (2026): ATS Keywords, Examples & Insider Tips

Jordan Reid — Former Senior Staff Technical Recruiter (Google, Amazon) who has reviewed 12,000+ engineering, product, and business resumes.

Updated November 6, 20269 min readAI + Human ResearchInsider Knowledge
35+
ATS Keywords
for this exact role
5
Resume Tips
insider-specific
4
Bullet Rewrites
before vs after
4
Common Mistakes
to avoid

Razorpay's Data Analyst hiring loop is a brutal filter. With an acceptance rate under 1%, your resume must pass three gates: Keka HR's automated keyword filter, a 6-second recruiter scan for specific fintech metrics, and a final check against the internal leveling rubric (Associate Analyst to Senior Analyst). This guide is built from the exact mechanics of those gates. Generic 'proficient in SQL' bullets get you auto-rejected. We'll detail the five core technical competencies Razorpay's hiring managers use to separate a callback from the recycle bin: 1) Transactional Data Modeling for Payments, 2) Conversion Funnel & Cohort Analysis, 3) Self-Serve Dashboard Ownership, 4) Fraud & Risk Signal Detection, and 5) Multi-Product Attribution. Your resume will be audited against these pillars. We reject fluff.

ATS Insider Intelligence

How Keka HR Actually Works

Keka HR at Razorpay parses PDFs well but prioritizes content in the first half of the document. Recent role keywords hold 3x more weight than skills listed at the bottom. Recruiters pre-set knockout filters for 'Years of Experience' and 'Analytics Tool Stack' (must include SQL + one of: Python/R, Looker/Tableau). The system auto-tags candidates based on keyword frequency in the 'Experience' section. A recruiter scorecard then overlays tags like 'Fraud Analysis', 'Product Metrics', or 'Merchant Insights'. If your most recent role's bullet points lack these high-signal tags, you will not surface in the shortlist, regardless of your skills list. DOCX formatting is riskier due to occasional parsing errors with complex tables.

🎯 ATS Keyword Arsenal

Razorpay • Data Analyst • Keka HR — Click any keyword to copy it

⚡ Technical Skills

SQLPythonStatistical AnalysisA/B TestingCohort AnalysisFunnel OptimizationTime-Series AnalysisData ModelingETL/ELT PipelinesHypothesis TestingRegression ModelingCLV/CAC CalculationRoot Cause Analysis

🔧 Tools & Platforms

SnowflakeRedshiftdbtApache AirflowLookerTableauJupyter NotebooksGitAmplitude

🧠 Behavioral / Soft Skills

Stakeholder CommunicationProduct PartnershipMetric DefinitionAutonomy on Ambiguous ProblemsTranslating Data to Business ImpactInfluencing Roadmaps

🏢 Domain Expertise

Payment Success Rate (PSR)Merchant Activation FunnelGross Transaction Value (GTV)Fraud RateRefund AnalysisNet Revenue Retention (NRR)Multi-Product Cross-Sell

See how many you're already using 👇

Applying without auditing your resume against Razorpay's Keka HR keyword rubric is like sending a payment without checking the success rate. You will get an auto-reject receipt. Scan your document now.

Interactive Keka HR Keyword Scanner

Test Your Resume Against Razorpay's Data Analyst Keywords

Paste your resume bullets below to see how many of Razorpay's 35 target ATS keywords and impact metrics you match right now.

100% client-side instant check · Zero signup requiredChecks 35 Razorpay keywords + XYZ metric density

Expert Resume Tips for Razorpay

1

Lead every bullet with a fintech-specific business metric Razorpay cares about.

Do not start with 'Analyzed data...'. Start with 'Improved Payment Success Rate by...' or 'Reduced merchant onboarding drop-off by...'. Razorpay's Data Analysts are measured on moving core business KPIs like GTV, PSR, and activation conversion. Your resume must mirror their internal performance review language.

Why this matters at Razorpay

Hiring managers scan for immediate signal of domain relevance. Generic analytics impact is ignored; fintech metric impact gets the 'Product Knowledge' tag in Keka HR.

2

Explicitly name the data toolchain (e.g., 'dbt models in Snowflake').

Write 'Built and maintained dbt models for the merchant cohort dataset in Snowflake' not 'Built data models'. Razorpay's stack is specific. Naming tools like dbt, Airflow, Snowflake, and Looker triggers positive keyword matches and signals you can onboard without extensive ramp-up.

Why this matters at Razorpay

Recruiters search for 'dbt' and 'Snowflake' as primary filters in Keka HR. Vague phrasing fails this knockout question.

3

Quantify impact in percentage points (pp), absolute rupees, or basis points for financial metrics.

Use 'Improved PSR by 1.5 pp' or 'Reduced operational cost by ₹2.3 Cr annually' or 'Lowered fraud rate by 45 bps'. Avoid vague 'improved efficiency'. Razorpay operates at scale; small percentage changes translate to large financial outcomes. Show you understand that.

Why this matters at Razorpay

The Bar Raiser rubric demands 'Bias for Action' and 'Deliver Results'. Quantified outcomes are the only acceptable proof. Unquantified bullets are considered filler.

4

Mention your stakeholder's title (Product Manager, Risk Ops, Growth Marketing).

Write 'Partnered with Senior Product Manager to define success metrics for Razorpay Capital launch' not 'Worked with product team'. Razorpay values cross-functional partnership. Specifying the function shows you understand the internal consumer of your analysis and can manage upwards.

Why this matters at Razorpay

This signals 'Customer Obsession' and 'Earn Trust' from Amazon's leadership principles, which are deeply embedded in Razorpay's culture and hiring criteria.

5

Keep your Skills section lean and cluster tools by function.

Group as 'Data Warehousing: Snowflake, Redshift, BigQuery' and 'Visualization: Looker, Tableau'. Do not list 30 individual tools. Razorpay recruiters distrust 'keyword stuffing'. A concise, clustered list appears more expert and passes the 'truthfulness' sniff test during the hiring committee review.

Why this matters at Razorpay

A cluttered skills section is a red flag for resume inflation. Hiring managers assume you are proficient only in the tools cited in your experience bullets.

Before vs After: Real Bullet Rewrites

These are the exact bullets that get filtered vs. the ones that get through Keka HR and land interviews.

Gets Rejected

"Responsible for analyzing payment data and creating dashboards for stakeholders."

Gets Noticed ✓

"Owned the Payment Success Rate (PSR) dashboard in Looker; identified a 3.2 pp drop in card payments for a key bank gateway via root-cause analysis, prompting a fix that recovered ~₹18 Cr in monthly GTV."

Why it works: Names the exact metric (PSR), tool (Looker), uses precise 'pp' quantification, and ties analysis directly to financial impact (GTV), satisfying multiple hiring pillars.
Gets Rejected

"Built data models and wrote SQL queries for the fraud team."

Gets Noticed ✓

"Developed a suite of dbt models in Snowflake to tag risky transactions; the new features improved fraud model precision by 22%, reducing false positives and saving the Risk Ops team 120+ hours per month in manual review."

Why it works: Specifies the modern stack (dbt, Snowflake), quantifies model improvement, and translates it into operational efficiency, showing direct business ROI.
Gets Rejected

"Conducted cohort analysis to understand user retention."

Gets Noticed ✓

"Executed cohort analysis on the merchant activation funnel using Python; identified a 40% drop-off at the KYC step, leading to a product redesign that increased activation completion by 15% and added 4,500+ active merchants per quarter."

Why it works: Transforms generic 'cohort analysis' into a specific funnel step (KYC) with a clear product outcome (active merchants), demonstrating product partnership and impact.
Gets Rejected

"Supported A/B tests for the product team."

Gets Noticed ✓

"Designed and analyzed 12+ A/B tests (via in-house platform) on checkout page UX; championed a winning variant that increased add-on product attachment rate by 8.5%, contributing to an estimated ₹7 Cr in incremental annual revenue."

Why it works: Quantifies scope (12+ tests), mentions internal tooling, and directly attributes a revenue figure, showcasing ownership and business acumen.

⚡ Insider Counter-Intuition

For a Data Analyst role at Razorpay, a perfectly formatted, beautifully designed resume is a secondary concern. The primary filter is whether your first three experience bullets contain at least two of the five core hiring pillars, quantified. I have seen resumes with basic Times New Roman formatting and no color get fast-tracked because the bullets read like internal Razorpay performance reviews. Conversely, visually stunning resumes with generic content are rejected in under 30 seconds. Substance over style is the absolute rule.

Mistakes That Get Data Analysts Rejected at Razorpay

❌ Listing every analytics tool under the sun in the Skills section.

What happens

Triggers 'keyword stuffing' suspicion. Recruiter assumes you lack depth in Razorpay's core stack (Snowflake, dbt, Looker) and marks you as a low-confidence candidate.

✓ The Fix

List only tools you have used professionally in the last 2 years. Cluster them. Let the tools mentioned in your experience bullets carry the weight.

❌ Using generic job descriptions instead of Razorpay-relevant domain problems.

What happens

Fails to trigger the 'Domain Knowledge' tag in Keka HR. Your resume gets sorted behind candidates who mention 'payment success', 'merchant', 'GTV', or 'fraud'.

✓ The Fix

Before writing, research Razorpay's products. Frame all past experience through a fintech lens, even if it wasn't in payments. Translate e-commerce metrics to merchant metrics.

❌ Hiding numbers or impact at the end of a long bullet point.

What happens

In the 6-second scan, the recruiter misses the quantification. The bullet is categorized as a 'responsibility' not an 'achievement' and is discounted.

✓ The Fix

Front-load the metric. Use the structure: 'Verb + Metric + Method + Outcome.' Example: 'Increased X by Y% using Z, resulting in A.'

❌ Submitting a resume with a complex, multi-column graphic design.

What happens

Keka HR's parser may misread the columns, jumbling your experience and skills. Key keywords land in the wrong parsed field, lowering your match score below the threshold.

✓ The Fix

Use a clean, single-column, left-aligned format with standard section headers (Experience, Education, Skills). Test the parsed view in a simple ATS demo.

FAQ: Data Analyst at Razorpay

Does Razorpay's Keka HR ATS rank candidates by keyword frequency?

Yes, but with a major caveat: frequency is weighted heavily towards your two most recent roles. Keyword stuffing in an old role or the skills section has minimal effect. Keka HR also applies recency weighting, so a 'Python' mention from 5 years ago holds less value than one from your current position.

What is the difference between a Data Analyst and a Senior Data Analyst at Razorpay?

An Analyst executes defined analyses and builds dashboards. A Senior Analyst proactively identifies opportunities, defines new metrics with Product Managers, and influences roadmaps. On a resume, Senior expectations require showing initiative ('identified a gap in tracking X'), autonomy ('led the analysis from hypothesis to recommendation'), and scaled impact ('analysis was adopted across 3 product teams').

Should I use a PDF or DOCX resume for Razorpay's Keka HR?

Always PDF. While Keka HR handles both, DOCX formatting can shift between versions of Word, causing parsing errors with dates, headers, or bullet points. A PDF preserves layout integrity, ensuring keywords are parsed into the correct fields.

How important is mentioning specific Razorpay products (RazorpayX, Magic, Capital)?

It's a high-signal bonus but not required. Demonstrating understanding of analogous fintech domains (business banking, payroll, lending) is sufficient. Better to show impact on metrics like 'activation funnel' or 'cross-sell rate' that apply to any of their products than to guess and name the wrong one.

Do Razorpay recruiters look at GitHub or portfolio links on a resume?

Hiring managers might, but recruiters in the initial Keka HR screen rarely do. Do not rely on a link to explain your skills. The resume content must stand alone. If you include a link, ensure it points to a polished, relevant project (e.g., a Jupyter notebook analyzing a public financial dataset).

Related Resume Guides

Data Analyst at Other Companies

🎯

Check Your Razorpay ATS Score

See exactly how many of these 35 keywords you're using right now.

Run ATS Check Free Build Resume with AI

🔍 ATS Being Used

Keka HR

Optimize specifically for Keka HR to beat the automated filter before a human even sees your resume.

Ready to Apply to Razorpay?

Stop Guessing. Start Matching.

Upload your resume and see exactly how many of these 35 Razorpay-specific keywords you're already matching — and which gaps are costing you the interview.

Check My ATS Score Free Match Resume to JD