ConxtoRÉSUMÉ STUDIO
Data · mid

Data Analyst résumés: what 117 live postings ask for

We read 117 currently-open data analyst postings and counted what they name. Below: the requirements, then a worked example measured against them.

A worked demonstration — written by us, not a real person's résumé. It covers 12 of the 20 things those postings ask for most, so you can see the shape of an answer rather than take our word for it.

Try another template →

Opens in the editor as your own document. No account, and it never leaves your browser.

From our own job engine · updated today

What 117 live Data Analyst postings actually ask for

Not advice — a count. We read 117 currently-open data analyst postings across Germany, United Kingdom, United States and more and counted how many name each skill. 15% are remote.

  1. SQL64%75 of 117
  2. Reporting54%63 of 117
  3. Power BI53%62 of 117
  4. Dashboards51%60 of 117
  5. Python46%54 of 117
  6. Data Analysis37%43 of 117
  7. Microsoft Excel34%40 of 117
  8. Business Intelligence33%39 of 117
  9. Tableau28%33 of 117
  10. KPIs26%30 of 117
  11. Data Science22%26 of 117
  12. Data Quality21%24 of 117

Hiring now: Flix SE · Optum · Cohere Health · Bio-Rad Laboratories, Inc. · Hamburger Energienetze GmbH · Flix

Counted from live postings our engine collected — no survey, no estimate. Put a skill on your résumé only if it is genuinely yours.

What a data analyst résumé has to show

  1. SQL first in the skills line — it is the term most job descriptions match on
  2. The tool the team already uses (Tableau, Power BI, Looker) named explicitly
  3. A decision or an amount attached to each analysis, not just the analysis
  4. Domain words from the industry you are applying to — churn, cohort, margin, funnel

Bullets you can adapt

Every one names a system or a surface, a change, and a number. Take the shape, not the figures — substitute your own and keep them defensible.

  • Built the churn model that identified €1.8M of at-risk ARR; retention campaign recovered 34% of it
  • Replaced a 40-tab spreadsheet with a dbt model and Looker dashboard used daily by 60 people
  • Ran the pricing A/B test across 240k sessions that lifted checkout conversion 11%
  • Cut month-end reporting from 5 days to 6 hours by automating the ETL in Python and Airflow
  • Found and corrected a revenue-attribution error that had understated paid search by 18% for two quarters
  • Segmented 1.2M customers into 6 cohorts; the top cohort drove 61% of repeat revenue
  • Reduced dashboard load time from 40s to 3s by pre-aggregating in Snowflake

And the ones to cut

These are duties and adjectives. They describe a job title, not a person doing it.

  • Analysed data to provide insights to stakeholders
  • Created dashboards and reports using various BI tools
  • Strong analytical and problem-solving skills

Keywords an ATS looks for

Include the ones that are true of you. Our free ATS checker scores your résumé against a specific job posting and shows the full keyword report.

SQLPythondbtTableauPower BILookerExcelSnowflakeBigQueryA/B testingETLcohort analysis

Data Analyst résumé questions

Do I need Python on a data analyst résumé?

SQL is required; Python is a multiplier. If your Python is limited to pandas basics, list it and be ready to say exactly that — overstating it is the most common way analysts lose a technical screen.

How do I show impact when I only support decisions?

Name the decision and its size. "Analysis led the team to cut the mid-tier plan, which was 6% of revenue and 31% of support load" is impact even though you did not make the call.

Should I include dashboards I built?

Describe them by use, not by existence: who opens it, how often, and what they do differently because of it.

Start from this example, then make it yours.

Other roles