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ATS Resume Checker for Data Analysts
Data analyst is one of the most applied-to jobs there is, so nearly every employer screens with an ATS and a short list of tool names. Our free checker scores your resume against the actual posting, shows which keywords you're missing, and flags bullets that list tasks without results. It runs on your own device, with no sign-up.
How ATS screening works for data analysts
Analyst postings are tool-driven. SQL, Excel, and either Tableau or Power BI appear in most of them, and the ATS matches those names literally. “Business intelligence software” will not match “Power BI.” If the posting names a tool you have used, the tool's exact name needs to be on your resume.
After the keyword screen, a reader wants to know whether your analysis changed anything. “Created weekly sales dashboards” is a task. “Built a sales dashboard that replaced 6 hours of manual reporting a week and surfaced a $300k pricing error” is a result. Aim for a number in at least every second bullet.
Keywords that matter on a data analyst resume
Use the exact wording below where it’s true of you. An ATS matches words literally, not by meaning.
| Keyword | Why it matters |
|---|---|
| SQL | The single most-searched analyst skill |
| Excel (pivot tables, XLOOKUP) | Still required almost everywhere; name the advanced features |
| Tableau / Power BI / Looker | List the exact tool the posting names |
| Dashboards / reporting | Core deliverables, in most postings word for word |
| Python / R | Expected for mid-level roles and above |
| Data cleaning / data validation | Shows you know where analysis time really goes |
| KPIs / metrics | The vocabulary of the business side |
| Ad hoc analysis | A literal phrase in many postings |
| ETL / data pipelines | A plus that moves you toward senior roles |
| Stakeholders / requirements gathering | Signals you can turn a vague question into an analysis |
Three fixes that raise a data analyst resume’s score
- Attach a result to every dashboard. Who used it, what it replaced, what it revealed. “Dashboard used daily by 40 store managers” beats “Created dashboards.”
- Name the size of the data. “Queried a 200M-row orders table” tells a hiring manager your SQL goes beyond the basics.
- List tools in a dedicated Skills line. “SQL (PostgreSQL, BigQuery), Excel, Tableau, Python (pandas).” Databases in parentheses pick up extra literal matches.
Questions
I have no analyst experience yet. What goes on the resume?
Projects with real data and a stated finding, a certificate if you have one, and any analysis you did in another job, described with analyst vocabulary. “Tracked inventory in Excel and cut stockouts 15%” is analyst experience, whatever the job title was.
Are certificates like Google Data Analytics worth listing?
Yes, in a Certifications section. Some postings name them, which makes them a literal ATS match, and for career changers they show recent, relevant training.
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See your score
Free, no sign-up, and your resume never leaves your device. The checker opens with a typical data analyst posting loaded, so you see keyword match straight away.