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Data Analyst CV example

A Data Analyst CV should show how you move from a business question to reliable data, a clear analysis, and a usable explanation. Present the tools you actually used alongside the datasets, checks, dashboards, or decisions they supported, without inflating coursework into commercial experience.

Sample CV — first page

Sample Candidate

Data Analyst

City, Country · sample@cv4free.invalid · +000 000 0000

Practical data analyst with background in data cleaning, reporting, and business analysis. Brings organized follow-through, clear communication, and dependable support for daily business priorities.

Experience

Reporting Analyst · Regional Data Company

City, Country · 2021 – Present

  • Collected, cleaned, and checked operational data before preparing reports.
  • Built dashboards and summaries that helped teams understand current performance.
  • Explained data findings in simple language for non-technical stakeholders.
  • Documented report definitions so recurring analysis stayed consistent.

Reporting Assistant · Community Data Services

City, Country · 2019 – 2021

  • Supported data activities through accurate records and timely follow-up.
  • Worked with colleagues and supervisors to keep daily tasks organized.
  • Handled routine questions and escalated complex issues with clear notes.

Education

Bachelor of Information Systems · Applied Learning Institute

City, Country · 2016 – 2020

Coursework related to data practice.

Skills

  • Data cleaning
  • Spreadsheet modeling
  • SQL
  • Dashboard preparation
  • Data visualization
  • Business analysis
  • Quality checks

Languages

  • English · Professional
  • Arabic · Basic

Certifications

Relevant Data Training · Professional Training Provider · 2023

Professional summary

Open with the analysis environments, data quality work, and reporting outcomes you can defend, then connect them to the kinds of questions you helped answer.

  • Data analyst with experience collecting, assessing, and interpreting data to support clear business insights, data quality, and informed decisions.
  • Data analyst focused on gathering and processing data, applying analytical methods, and preparing clear summaries to support business needs.
  • Data analyst with skills in statistical analysis, data mining, data modelling, business intelligence, and communicating data findings clearly.

Useful skills

Choose only skills you have used, then support them with evidence from your own work.

Establish Data ProcessesIntegrate ICT DataManage DataNormalise DataPerform Data MiningDefine Data Quality CriteriaAnalyse Big DataApply Statistical Analysis Techniques

Experience bullets

  • Prepared and checked datasets before analysis, documenting material assumptions or data-quality limits.
  • Built repeatable analyses or reports using the tools and query methods appropriate to the available data.
  • Explained findings to the intended audience with clear definitions, caveats, and traceable supporting work.

What to emphasize 1

Describe one or two analyses from question through preparation, checking, interpretation, and communication rather than listing software with no working context.

What to emphasize 2

For portfolio or early-career work, state the dataset source, your method, and the decision or insight the output supported without inventing business impact.

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