Data Analyst Resume Example

How to write a data analyst resume that lands interviews

A great data analyst resume isn't a list of responsibilities — it's a tight stack of quantified outcomes, written in language an ATS scores and a human reader believes. Below: the eight bullets a strong candidate uses, the four they avoid, the keywords the ATS expects, the salary bands you should anchor your negotiations against, and the FAQs we hear most often.

Sample bullets — good vs weak

Each “good” bullet leads with the outcome, includes a measurable result, and shows scope. The “weak” versions describe activities without showing impact. Use these as templates; rewrite them in your own voice with your real numbers.

✅ Bullets that get the call

• Rebuilt the company's core revenue dashboard (SQL + Looker), cutting finance's monthly close-prep from 3 days to 4 hours.
• Ran the pricing-experiment analysis that justified a 12% list-price increase — held conversion flat and added ₹2.1 Cr in ARR.
• Automated 14 recurring manual reports with dbt models + scheduled queries, freeing ~20 analyst-hours a week across the team.
• Built the churn-driver model (cohort + logistic regression in Python) that surfaced 3 leading indicators; retention team cut 90-day churn 16%.
• Standardized the experiment read-out process with pre-registered stat-sig checks — killed 4 'winning' tests that were actually noise.
• Defined a single source of truth for CAC across GA4 + ad platforms, ending months of conflicting marketing numbers.

❌ Bullets to rewrite

• Created reports and dashboards for the team.
• Used SQL and Excel to analyze data.
• Worked with stakeholders on their data requests.
• Responsible for maintaining the company's data.

ATS keywords to weave into your bullets

The four-component ATS rubric weights keyword density inside experience bullets more heavily than the keywords-only skills section. These are the 16+ keywords most often scored on a data analyst resume — fold them into your bullets where they're honestly applicable.

Data Analyst salary

Salary ranges below reflect total cash compensation (base + bonus) for fully-employed roles at competitive companies as of 2026. Indian bands use lakh and crore conventions. Global bands use US comp; adjust ±10–20% for the rest of the developed world. Use these to anchor your negotiation, not to set your expectations alone.

Want a deeper salary breakdown by city + role + experience? See the full Data Analyst salary guide →

Top hiring companies for data analysts

Common mistakes (and how to fix them)

• Listing tools without outcomes ('SQL, Python, Tableau')

  Fix: Show the tool earning its place: 'cut close-prep 3 days → 4 hours with SQL + Looker'. Tools are table stakes; impact differentiates.
• No business metric on any bullet

  Fix: Tie each analysis to a decision or a number — revenue, hours saved, churn moved. Analysts who can't show impact read as report-runners.
• Confusing activity with insight

  Fix: 'Built 40 dashboards' is volume, not value. State what changed because of the work.
• Over-claiming causation

  Fix: Be precise about experiments vs correlations — interviewers probe this, and honesty about method reads as senior.

ATS tips specific to data analyst resumes

• Use 'Data Analyst' as a literal phrase in your summary — ATSes pattern-match exact titles.
• Avoid two-column layouts; many older ATSes parse them as a single garbled column.
• Include a 'Skills' section even if the bullets cover them — many ATSes weight that section higher.
• Save as a text-extractable PDF; the recruiter's ATS may not be the one you'd guess.

Frequently asked questions