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Role vocabulary

ATS resume keywords for Data & Analytics

These are the 20 terms our scorer checks a Data & Analytics resume against. It is the same list the free check uses, published in full.

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The vocabulary

Coverage is 25 of the 100 points. Sixty percent of this list is full marks, so you do not need all of it, and stuffing every term in is penalised separately.

  • sql
  • python
  • excel
  • power bi
  • tableau
  • etl
  • data modelling
  • dashboard
  • statistics
  • a/b testing
  • segmentation
  • forecasting
  • pandas
  • snowflake
  • data warehouse
  • kpi
  • reporting
  • stakeholder
  • cohort
  • regression

The eight questions for Data & Analytics

The guided builder asks these, in this order, and turns each answer into a line on the page. Nothing is written that you did not type.

  1. 1.How many dashboards or reports do you own, and who uses them?
  2. 2.How large are the datasets you work with?
  3. 3.What decision has been made or changed because of your analysis?
  4. 4.Which tools and languages do you use daily, and to what depth?
  5. 5.How many data sources do you pull together, and how?
  6. 6.How much manual reporting time have you automated away?
  7. 7.How many stakeholders or teams do you serve?
  8. 8.What is your reporting cadence, and to whom does it go?
Answer them and see your score before paying

Words are the easy half

A resume can carry every term above and still be rejected, because coverage says what you know and nothing about what you delivered. The heaviest category on the rubric is evidence: how many of your bullets carry an actual figure.

Seven in ten is full marks. Most resumes we see manage two.

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