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Data analyst résumé example

SQL, a dashboard people actually use, and the decisions that followed.

  • Scores 100/100 on the free checker
  • Rendered in the ATS Classic template
  • Every name, employer and number is invented
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100/100 on the checker

The summary

Name the domain you have analysed, the thing you built that people use, and one decision your work changed. Tools come last.

  • Say the domain — retail, payments, logistics — because analysts are hired for context as much as SQL.
  • One artefact (a dashboard, a model) and who uses it beats a list of tools.
  • One decision with a rupee or percentage figure shows your work mattered.
  • Keep tools to the three that define you; the skills section carries the rest.

Works

Data analyst with 4 years turning retail and payments data into decisions. Built the weekly margin dashboard a 60-person commercial team runs on, and found the pricing change that added ₹3.2 crore in annual gross margin.

Does not

Detail-oriented data analyst skilled in SQL, Python, Excel and Tableau with a passion for data-driven insights.

Experience bullets

Analyst bullets have a shape: what you analysed, what you found, what changed. The third part is what most résumés leave out.

Works

Identified a pricing anomaly through cohort analysis; the fix added ₹3.2 crore in annual gross margin

Works

Cut the monthly reporting cycle from 9 days to 2 by moving transformations into dbt with tests on every model

Works

Modelled repayment risk across 1.4 million accounts; the segmentation cut collection calls by 22%

Does not

Created dashboards and reports for stakeholders using various tools and analysed data to provide insights.

Skills worth listing

Two groups are enough: how you analyse, and what you analyse in. Name the SQL dialect or warehouse if the job does.

Analysis
SQLPythonStatisticsA/B testingForecastingCohort analysis
Tools
Power BITableaudbtBigQuerySnowflakeExcel
Communication
Dashboard designExecutive summariesExperiment write-ups

Format

  • One page. Analysts with ten years still fit on one.
  • Numbers in every bullet; if a project had no measurable outcome, say what decision it informed.
  • A certification only if it is current and recognisable (Power BI, Tableau, Google Data Analytics).
  • No charts or graphics on the résumé itself — the parser cannot read them.
  • Software engineer

    Three years in, shipping features with a number on every bullet.

    Engineering · Checker score 100/100

  • Business analyst

    Requirements that shipped, processes made shorter, money saved.

    Business · Checker score 96/100

  • Product manager

    What the team shipped, the metric it moved, the trade-off made.

    Business · Checker score 94/100