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data resume

Build a Data Analyst Resume That Shows Insight-Driven Impact

Create a data analyst resume highlighting SQL, data visualisation, and business intelligence skills. ATS-optimised templates with PDF export.

How to write a strong data analyst resume

Data analyst resumes should balance technical proficiency with business acumen. Show that you can not only query data and build dashboards, but also translate findings into actionable recommendations. Highlight specific business questions you answered and the decisions your analysis influenced. Tools matter — list SQL, Excel, Tableau/Power BI, and any programming languages prominently.

Key skills for a data analyst resume

SQL
Excel
Tableau
Power BI
Python
Data Analysis
Google Analytics
ETL
Statistical Analysis
Data Visualisation

Common responsibilities

Write complex SQL queries to extract and analyse business data
Build dashboards and reports for stakeholders
Identify trends, patterns, and anomalies in datasets
Translate business questions into data analysis projects
Maintain data quality and documentation standards
Present insights and recommendations to non-technical audiences

Example resume bullet points

These are fictional examples for inspiration. Customise with your own achievements and metrics.

Built a weekly revenue dashboard in Tableau used by 30+ stakeholders, reducing ad-hoc reporting requests by 60%

Identified a pricing anomaly through SQL analysis that recovered $340K in annual lost revenue

Automated 15+ manual Excel reports using Python and pandas, saving 20 hours per week across the team

Conducted cohort analysis that informed a product change, increasing 30-day retention by 18%

Designed data quality checks that reduced reporting errors by 90% across the analytics team

Example professional summary

This is a fictional example. Replace with your own background and achievements.

Data analyst with 3+ years turning raw data into actionable business insights. Proficient in SQL, Python, Tableau, and Excel. Built dashboards used by C-suite executives and automated reporting workflows that saved 20+ hours weekly. Focused on data quality, clear visualisation, and measurable business impact.

Recommended sections

  1. 1Contact Information
  2. 2summary
  3. 3experience
  4. 4skills
  5. 5education
  6. 6certifications
  7. 7projects

Frequently asked questions

Yes. Excel (including pivot tables, VLOOKUP, and Power Query) remains widely used. List it alongside more advanced tools — it shows versatility without suggesting you lack modern skills.

SQL is the single most-requested skill for data analyst roles. Demonstrate complex query experience (joins, CTEs, window functions) and mention specific databases you have worked with.

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