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Data Analyst resume skills. The words recruiters search for.

The 16 skills and tools that come up in data analyst job posts, sorted by type, and how to put them in bullets a recruiter believes.

By · Updated

/ The list

Keywords by type. Use only the ones that are true for you.

Hard skills · 9

  • SQL (used in Daniel's sample resume)
  • Python (used in Daniel's sample resume)
  • R
  • Data visualization (used in Daniel's sample resume)
  • Statistical analysis
  • A/B testing (used in Daniel's sample resume)
  • ETL
  • Forecasting
  • Stakeholder reporting

Tools & software · 7

  • Excel (used in Daniel's sample resume)
  • Tableau (used in Daniel's sample resume)
  • Power BI (used in Daniel's sample resume)
  • Looker
  • dbt (used in Daniel's sample resume)
  • Snowflake (used in Daniel's sample resume)
  • BigQuery

9 of 16 appear in Daniel's sample resume. See where

/ How to use them

Put keywords in bullets, not just in a skills list.

A skills list tells the software you have a skill. A bullet shows a recruiter what you did with it.

  • Python

    Weak: Skills: Python

    Strong: Built a demand forecast in Python that reduced stockouts by 17% across 120 stores

  • Tableau

    Weak: Skills: Tableau

    Strong: Replaced 30 weekly spreadsheets with a Tableau dashboard used by 85 managers

  • SQL

    Weak: Skills: SQL

    Strong: Automated SQL data checks that cut reporting errors by 70%

Strong bullets come from Daniel's sample resume and our data analyst bullet examples. Names and figures are illustrative.

/ Use them honestly

Keywords get you found. Proof gets you hired.

Mirror the job post's wording for skills you really have. If a data analyst post asks for SQL and you've used it, say SQL, in the post's spelling, and show where.

  1. Mirror the job post's wording

    If a data analyst post says "Python", write "Python", not a near-synonym — as long as it's accurate. Recruiters search for the post's exact term.

  2. Only claim what you can back up

    Expect to be asked about every term you list. If you couldn't spend two minutes on SQL — what you did and what changed — leave it out.

  3. Show it in a bullet

    A skills list says you know Python. A bullet like the one under Data Analyst in the example above shows what you did with it.

  4. No stuffing, no hidden text

    Repeating a word or hiding keywords in white text doesn't make you a better match. A person reads the resume in the end.

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/ Questions

Data Analyst keywords, answered.

Something else? support@launch-cv.com

How many keywords should a data analyst resume have?

There's no magic number. Daniel's sample resume uses 9 of the 16 terms on this page — the ones that fit that job. Cover what your post asks for that you can back up, each where it fits; repeating a keyword doesn't help.

Should I copy keywords exactly from the job post?

Use the post's wording for skills you really have. If a data analyst post says "SQL", write "SQL" rather than a synonym, so a recruiter searching for that term finds you. Don't add skills you don't have just because the post lists them.

Where should keywords go on my resume?

In your summary, a short skills section and, above all, the bullets under each job, where you show what you did with the skill. In Daniel's sample, Python shows up in a bullet under Data Analyst. Plain text in the body of the page is easiest for applicant tracking systems to read.

Which tools should I list on a data analyst resume?

The ones you've used and the post mentions. Common ones in data analyst posts include Excel, Tableau, Power BI, Looker and dbt. Name the tool in the bullet where you used it, not only in the skills list.

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