Data Analyst Resume Examples
The biggest difference between a resume that passes ATS and one that doesn't is often a handful of bullet points. Below you'll find 2 real before-and-after rewrites for Data Analyst resumes — from vague, weak bullets to specific, metrics-driven, keyword-rich statements.
What Makes a Strong Data Analyst Bullet?
Quantified impact
Numbers, percentages, or dollar values show the scale of your contribution.
ATS keywords in context
Key terms like "SQL" and "Python" placed naturally in bullets.
Strong action verb
Opens with a past-tense verb (Led, Delivered, Reduced) — not "Responsible for."
2 Before-and-After Bullet Examples
Each example shows the original weak bullet, the rewritten strong version, and why the rewrite works from an ATS and recruiter perspective.
Created dashboards to help the team understand performance.
Built a real-time KPI dashboard in Tableau for a 12-person growth team, consolidating 6 data sources via SQL; reduced weekly reporting time from 8 hours to 20 minutes.
Why it works: The strong version opens with an action verb, adds a measurable result, and includes relevant keywords (SQL, Python) in context, which improves both ATS keyword match score and recruiter confidence.
Ran A/B tests on marketing campaigns.
Designed and analysed 14 A/B tests on email campaigns using Python (scipy.stats), identifying subject-line patterns that lifted open rates by 23% and generated $140K in incremental revenue over Q3.
Why it works: The strong version opens with an action verb, adds a measurable result, and includes relevant keywords (SQL, Python) in context, which improves both ATS keyword match score and recruiter confidence.
How ATS Screens Data Analyst Resumes
Data analyst roles are among the most keyword-specific in ATS screening. Workday and Taleo (dominant in enterprise) match exactly against tool names — writing "BI tools" instead of "Tableau" or "Power BI" will fail the filter even if you're proficient. SQL is the single highest-weighted keyword for 90% of analyst postings.
Example Professional Summary
Your resume summary is the first thing ATS and recruiters parse. Here's what weak versus strong looks like for a Data Analyst:
"Experienced data analyst looking for a challenging opportunity where I can utilise my skills and contribute to the growth of the organisation."
"Results-driven Data Analyst with 5+ years of experience in the Analytics & Business Intelligence sector. Specialised in sql and python, with a track record of delivering measurable outcomes. ATS score consistently above 65% against role-relevant job descriptions."
Includes: role title, years, industry, 2 core keywords, a quantifiable outcome signal.
Need the Full Keyword List?
See all 23 ATS keywords for Data Analyst resumes, organised by priority with placement guidance.
See Data Analyst Keywords →More Tools for Data Analysts
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