Data Analyst ATS Resume Checker
Quick answer: A strong data analyst resume names the right tools (SQL, Excel, Tableau, Power BI), uses standard headings, and shows quantified results in every role. Scan yours below.
🔒 Analysed in your browser. Your resume is never uploaded to our servers.
Scanning your resume…
- Extracting text like an ATS parser
- Detecting sections and headings
- Checking contact details
- Measuring impact and action verbs
- Checking format and length
- Matching keywords
Top Data Analyst resume keywords
Terms that commonly appear in data analyst job postings. Use only those that are true for you.
Example Data Analyst resume bullets
Illustrative examples showing structure. Replace with your own facts.
- Built a Power BI sales dashboard used by 40 managers, replacing 12 hours of weekly manual reporting.
- Identified a churn driver through cohort analysis, informing a retention campaign that saved ₹1.8 Cr.
- Wrote SQL pipelines that cut report refresh time by 70%.
Common mistakes to avoid
- Describing tools without insights.
- No business metric tied to analysis.
- Skipping the stakeholders you worked with.
FAQ
What keywords should a Data Analyst resume include?
Common keywords include SQL, Excel, Tableau, Power BI, Python, dashboards, A/B testing, data cleaning. Only include those you can back up with real experience, and mirror the wording in the job posting.
How long should a Data Analyst resume be?
One page for early career, up to two pages for experienced candidates. Prioritise recent, relevant achievements.
What are common Data Analyst resume mistakes?
Describing tools without insights. No business metric tied to analysis. Skipping the stakeholders you worked with.