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Data & Analytics

Data Analyst CV Example & Guide (2026)

SQL, dashboards, and business intelligence to translate data into insights. Use our data analyst CV example as a starting point, then let TalentAid tailor it to your target role in seconds.

Data Analyst CV Example

Alex Morgan

Data Analyst

[email protected]+44 7700 900 000London, UK

Professional Summary

Work Experience

Senior Data Analyst2022 – Present
TechCorp Ltd
Data Analyst2019 – 2022
InnovateCo

Skills

LeadershipStrategyAnalysisCommunicationToolsDelivery

Education

CV Format & Layout

  • Use reverse-chronological order so your most recent data & analytics experience appears first.
  • Keep your CV to one or two pages — hiring managers spend an average of 7 seconds on an initial scan.
  • Use clean section headings, consistent fonts, and generous white space. Avoid tables and columns that confuse ATS parsers.
  • Save as PDF unless the job posting specifically requests a different format.

Professional Summary

  • Write 2–3 sentences that highlight your years of experience, core speciality, and a standout achievement.
  • Tailor the summary to each application — mention the company name or specific data & analytics focus area.
  • Include one measurable result (e.g. 'reduced build time by 40%' or 'managed a ÂŁ2M budget').
  • Avoid generic phrases like 'hard-working team player'. Be specific about the value you bring.

Work Experience

  • List each role with company name, job title, location, and dates (month + year).
  • Use 3–5 bullet points per role, starting each with a strong action verb (Led, Delivered, Designed, Optimised).
  • Quantify achievements wherever possible — percentages, revenue figures, team sizes, deadlines met.
  • Focus on impact rather than responsibilities. Instead of "Responsible for testing", write "Automated 200+ regression tests, reducing QA cycle from 3 days to 4 hours."
  • Remove roles older than 10–15 years unless they are highly relevant.

Skills Section

  • Split skills into two groups: technical/hard skills specific to data & analytics, and transferable soft skills.
  • Mirror the exact skill keywords from the job description to pass ATS filters.
  • List 8–12 skills maximum — quality over quantity.
  • Consider adding proficiency levels or years of experience for key technical skills.

Education & Certifications

  • Include degree title, institution name, and graduation year. Add grade/honours if strong.
  • List relevant professional certifications, training courses, and industry qualifications.
  • Place education after experience if you have more than 2 years of work history.
  • Recent graduates can expand this section with relevant coursework, projects, or dissertation topics.

Frequently Asked Questions

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Data Analyst CV Example & Guide (2026) - TalentAid