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Data & Analytics

Data Analyst CV Example

Demand for data analysts keeps growing as companies move to data-driven decisions. What sets strong candidates apart is the ability to translate numbers into recommendations. This CV example highlights analysis outcomes that changed decisions, not just tools used.

Professional Summary

Data analyst with 3 years of experience turning operational data into business recommendations. Fluent in SQL, Python (pandas), and Looker Studio dashboards. My churn analysis helped retain 18% of at-risk customers in one semester.

Replace numbers and names with your real data. An ideal summary is 2-3 lines and mentions one key achievement.

Key Skills

SQLPython (pandas)Advanced ExcelLooker Studio / Power BIStatistics BasicsA/B TestingData CleaningGoogle AnalyticsData StorytellingBasic ETL

Experience & Achievement Examples

Data Analyst

Example Retail Group

March 2023 - Present
  • Built a weekly sales dashboard used by 5 branch heads for stock decisions.
  • Analyzed behavior of 40k users and proposed 3 feature priorities that lifted conversion 12%.
  • Automated a 6-hour weekly manual report into a 10-minute Python script.

Junior Analyst

Example Data Agency

August 2022 - February 2023
  • Cleaned and merged campaign data from 4 sources for 12 clients.
  • Produced monthly performance reports with recommendations adopted by the media buying team.

Notice the pattern: action verb + what was done + number or impact.

ATS Keywords

ATS systems match your CV against the job description. Make sure these keywords appear naturally in your CV when they are relevant.

data analystSQLdashboardsreportingdata visualizationbusiness intelligencestatisticspythonKPIinsight

Tips for Data Analyst

  • lightbulbWrite analysis results as decisions or metrics that changed.
  • lightbulbLink a public dashboard portfolio (Looker Studio is free).
  • lightbulbMention the data you handled: volume, sources, and frequency.

Apply this example to your CV

Fill your data once, use it for every application. AI helps polish the language and tailor it to the target job.

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