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ATS guide · India 2026

ATS CV guide for data analysts in India — 2026

Pass ATS screening for data analyst roles in India. Role-specific ATS keywords, must-have CV sections, critical formatting rules, and common ATS failures to avoid.

ATS keywords for data analyst CVs

These are the most frequently screened keywords in data analyst job descriptions in India. Your CV should include the keywords that match your experience.

Data AnalystSQLPythonExcelPower BITableauData AnalysisDashboardReportingA/B TestingStatistical AnalysisETLData VisualisationBusiness IntelligenceKPIRGoogle AnalyticsLooker

Keyword matching tip: Mirror the exact phrasing from the job description — capitalisation and spacing matter. If the JD says "ReactJS", use "ReactJS", not "React.js".

Must-have CV sections for data analyst roles

ATS systems look for these section labels. Missing sections reduce your parse score.

Skills (Technical)

Section 1 of 4

Work Experience

Section 2 of 4

Projects

Section 3 of 4

Education

Section 4 of 4

CV formatting rules to pass ATS for data analyst roles

Use single-column format — common with analyst CVs, but dual-column breaks ATS

Include a dedicated Technical Skills section listing all tools

Section headings should be unambiguous: "Work Experience", "Education", "Projects"

Avoid using tables for skills — use comma-separated lists or simple bullet points

Spell out abbreviations at least once: "Power BI (Microsoft)", "Tableau"

PDF or DOCX — check JD; Naukri typically handles DOCX better

Most common ATS failures for data analyst CVs

These mistakes cause data analyst CVs to be filtered out before a human sees them.

Burying SQL deep in a paragraph — it must appear in a searchable Skills section

Writing "Excel (Pivot Tables, VLOOKUP)" as one skill — ATS may not parse as Excel

Using a chart or pie chart to show skill proficiency — ATS cannot read images

Omitting the word "analyst" from your current job title — ATS searches for exact titles

Not including the domain (BFSI, e-commerce) — some JDs filter by domain experience

Advanced ATS keyword tips for data analysts

Tip 1

Include "SQL" explicitly — it is the most screened keyword for analyst roles

Tip 2

List specific BI tools: "Power BI", "Tableau", "Looker", "Google Data Studio"

Tip 3

Add "A/B testing" if your work involved experimentation — high-value keyword

Tip 4

Include "Python (pandas, NumPy)" not just "Python" — shows depth

Tip 5

Mention the database types: "MySQL", "PostgreSQL", "BigQuery", "Redshift"

ATS for data analyst roles — frequently asked questions

What keywords should a data analyst put on their CV to pass ATS?

The non-negotiable keywords are: SQL, Python or R, Excel, and at least one BI tool (Power BI or Tableau). Additional high-value keywords include: data visualisation, ETL, dashboard, reporting, A/B testing, statistical analysis, and KPI. Match these exactly to the job description — capitalisation and spacing matter.

Should I list each SQL query type I know on my data analyst CV?

No. List "SQL" prominently in your Skills section and use bullets that show SQL in context: "Wrote complex SQL queries joining 5+ tables to generate weekly revenue reports." Listing "JOINs, CTEs, Window Functions" as a sub-list is also acceptable. Do not list every clause — it reads as filler.

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