Data Analyst CV Example & Writing Guide

Data analyst CVs need to show two things in equal measure: technical skills and business impact. Too many data analyst CVs read like a list of tools without any business context. "Analysed sales data in SQL" tells a recruiter nothing; "identified £420K in untapped upsell opportunity through cohort analysis of 18-month purchase history" is a strong signal. ATS systems filter for SQL, Python, Excel, Tableau, Power BI, Looker, and specific data stack tools. Hiring managers look for commercial awareness — did your analysis actually change a decision or improve a metric?

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Data Analyst CV Example — Sample

Alex Johnson

Data Analyst

alex.johnson@email.com · London, UK · linkedin.com/in/alexjohnson

Professional Summary

Data analyst with 4 years of experience in e-commerce and subscription SaaS. Proficient in SQL, Python, and Tableau. Delivered analyses that directly informed €1.8M in commercial decisions. Known for translating complex data into clear, actionable recommendations for non-technical stakeholders.

Experience

Data Analyst

Shoploop (E-commerce)

May 2021 – Present
  • Built and maintain 12 Tableau dashboards used daily by commercial, marketing, and operations teams
  • Ran cohort and RFM analysis identifying £420K in upsell opportunity; recommendation implemented, €380K recovered
  • Automated weekly reporting pipeline using Python and dbt, saving 6 hours of manual work per week

Junior Data Analyst

Subscriptly

Sep 2019 – Apr 2021
  • Analysed subscriber churn data and identified 3 early-warning signals; model adopted by customer success team
  • Created self-serve Looker dashboards reducing ad-hoc data requests to analytics team by 35%
  • Wrote complex SQL queries against Snowflake DW to support pricing, product, and marketing decisions

Skills

SQL, Python (pandas, numpy), Tableau, Power BI, Looker, Excel, dbt, Snowflake, BigQuery, Google Analytics, A/B testing, cohort analysis, data storytelling

Sample CV for illustration. Build yours free with CVmake — AI fills in your real details.

How to write a Data Analyst CV Example: 6 key tips

  • 1

    Every bullet should connect analysis to a business outcome or decision

  • 2

    List all tools explicitly: SQL, Python, Tableau, Power BI, dbt, Snowflake — ATS filters for these

  • 3

    Show stakeholder communication — "presented findings to CFO" signals senior readiness

  • 4

    Include data stack context: Snowflake, BigQuery, Redshift, dbt, Fivetran

  • 5

    Demonstrate both technical depth and business domain knowledge

  • 6

    Keep it to two pages — clear formatting shows the analytical thinking you're selling

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