Data analyst screening is tool-first: recruiters filter on SQL almost universally, then on the specific BI stack — Tableau or Power BI, sometimes Looker — then on Python or R for the more technical roles. Your insight and business judgment get you hired, but they never get seen unless the tool keywords match first.
Below: which terms to mirror exactly and the mistakes that keep analyst resumes out of search results. Then check yours free.
"SQL" is the anchor keyword for analyst searches — make sure it appears in your skills and inside at least one achievement ("wrote SQL to reconcile 3 revenue sources"). Dialects (PostgreSQL, BigQuery, T-SQL) are worth naming when the posting names them, but plain "SQL" is the term recruiters search.
Match the BI tool to the posting: if they run Power BI and your resume only says Tableau, you'll miss filtered searches even though the skills transfer in weeks. If you've touched the tool they use — even in a course or side project — list it truthfully at its real level ("Power BI (working knowledge)") rather than omitting it. And spell out "data visualization" somewhere; it's a surprisingly common search phrase that resumes full of chart names still manage to omit.
Once you're past the keyword filter, the ranking battle is between resumes that list deliverables ("built dashboards", "generated reports") and resumes that show consequences. Write the second kind: "identified a pricing anomaly through cohort analysis, recovering $380K in annual leakage", "built a self-serve dashboard that replaced 12 hours/week of manual reporting". Each of these still carries keywords (cohort analysis, dashboard) — but attached to an outcome a hiring manager remembers.
Keep an eye on stakeholder language, too. "Stakeholder", "cross-functional", and "data-driven decisions" show up in most analyst postings; one honest sentence about partnering with a team on a decision covers them without sounding stuffed.
Paste your resume — and the job description if you have one — and get an instant ATS score with the exact keywords you're missing and what to fix first.
Check your resume free — no sign-up, instant score →No — list it. Excel appears in a large share of analyst job descriptions and is still genuinely screened for. Give it substance ('Excel — pivot tables, LOOKUPs, Power Query') so it reads as a working skill rather than filler.
The ATS won't auto-reject you, but a recruiter search filtered on 'Power BI' won't surface you. If you have any real Power BI exposure, list it honestly at its true level. If you have none, apply anyway with strong SQL and outcome bullets — just know you're relying on a human reading past the filter.
Yes, as a plain-text URL. It does nothing for keyword matching, but for early-career analysts a portfolio with two or three real analyses is often the deciding factor once a human opens your resume.
For most analyst roles, tools dominate the screen, but 'A/B testing', 'regression', and 'forecasting' appear in postings often enough to matter. Include the ones you've actually done — they also differentiate you from tool-only candidates in ranking.