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Data Analyst CV Example — 2026

Data analyst CV example showcasing experience with JPMorgan and Accenture. Demonstrates SQL, Python, and business intelligence skills.

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Sarah Kim
Senior Data Analyst
Contact
✉ sarah.kim@email.com
☎ +1 212 555 0123
📍 New York
🔗 linkedin.com/in/sarahkim
28/11/1993 · American
SKILLS
SQLPythonTableauPower BIExcelGoogle Analytics
LANGUAGES
English — Native
Korean — Fluent
PROFILE

Data analyst with 7+ years of experience transforming complex data into actionable business insights. Expert in SQL, Python, and Tableau. Successfully led analytics initiatives for Fortune 500 companies.

WORK EXPERIENCE
Senior Data Analyst · JPMorgan, New York
2020 – Present
  • Developed 50+ dashboards monitoring $100B+ portfolio performance
  • Automated reporting reducing manual effort by 35 hours weekly
  • Led cross-functional team identifying $5M operational cost savings
Data Analyst · Accenture, New York
2017 – 2020
  • Analyzed customer data for 20+ clients across banking and retail
  • Created predictive models improving forecast accuracy by 28%
EDUCATION
M.S. Statistics · New York University
2015 – 2017
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How to Write a Data Analyst CV That Stands Out

Data analyst roles are expanding rapidly across industries — finance, e-commerce, healthcare, and tech all need skilled analysts. Your CV should demonstrate SQL expertise, analytics tools proficiency, and your ability to turn data into business insights.

💡 What is ATS? Recruiters searching for data analyst CVs specifically look for SQL, Tableau, Power BI, Google Analytics, Python, and Excel. Include these exact tool names in your technical skills section and experience descriptions.

What to Include

  • Quantified business impact: "Dashboard reduced reporting time from 8 hours to 30 minutes weekly, saving 400+ hours annually" shows real value.
  • Analytics tools and databases: SQL, Tableau, Power BI, Google Analytics, Python, R, Excel — be specific about which you've used in production.
  • Types of analyses performed: Cohort analysis, funnel analysis, A/B test analysis, forecasting, segmentation — describe real projects.
  • Data storytelling examples: How you've presented findings to non-technical stakeholders and driven decisions.

Common Mistakes

  • Only listing tools without context: "SQL expert" means nothing. Show what you built: "Wrote 50+ SQL queries analyzing user behavior across 2M+ records."
  • Ignoring soft skills: Mention communication skills and ability to explain findings to business teams.
  • Not showing business outcomes: Connect your analyses to revenue, cost savings, or operational improvements.

Essential Skills for a Data Analyst CV

✓SQL (complex queries, optimization)
✓Tableau & Power BI
✓Google Analytics & GA4
✓Excel (pivot tables, VLOOKUP, INDEX-MATCH)
✓Python / R (pandas, ggplot2)
✓ETL & data pipeline understanding
✓A/B testing & statistical analysis
✓Data visualization best practices
✓Google Sheets & spreadsheet automation
✓Basic data warehousing concepts

💡 Adding these skills to your CV will help you score higher in ATS matching systems.

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