Data & analytics résumés

Tailor your data analyst résumé to the job posting

Data analyst postings screen hard on tools (SQL, dbt, Looker, Python) and on whether your analysis actually changed a decision. Paste the job and your résumé and get bullets that lead with the decision you drove, not the dashboard you built.

What the rewrite looks like

— BEFORE —

Built dashboards and reports to help the team track key business metrics.

— AFTER (tailored to a senior data analyst role at a subscription business) —

Built the retention cohort model (SQL + dbt + Looker) that surfaced a 30-day churn cliff; the finding reprioritized the Q3 roadmap and recovered an estimated 8% of at-risk MRR.

— KEYWORDS THIS ROLE'S POSTINGS OFTEN WANT —

SQL · dbt · Python · data modeling · experimentation · stakeholder communication

Tailor your data analyst résumé free →No signup for the first run. No credit card.

How TailorBullet works

Paste the job posting and your current résumé. We read the role, the seniority, and the must-have skills, then rewrite your bullets to emphasize what matches — using Anthropic's Claude model. Every rewrite is accept-or-reject; your voice goes through the final.

It won't invent experience or numbers you didn't give it. A sparse résumé in gets a sharper-but-still-sparse résumé out. The ATS keyword diff shows which terms from the posting are missing from your résumé — without keyword-stuffing, which backfires when a human reads it.