Why This Resume Works
1
Quantified even at intern level
Rows cleaned, hours saved, dashboards built. Numbers matter at every level.
2
Tool-specific detail
Not just 'Excel' but VLOOKUP, Pivot Tables, Macros. Shows real proficiency.
3
Business context in every bullet
Each analysis tied to a team or business outcome, not done in isolation.
Section-by-Section Breakdown
Summary
Be honest about experience level. Lead with one strong metric. Show analytical mindset.
Skills
Include specific Excel functions. Many analyst roles still live in spreadsheets.
Experience
Quantify data volume (rows, users, queries). Show who benefited from your analysis.
Education
Economics, Math, Statistics, or Business degrees all work. Place near top for recent grads.
Key Skills for Junior Data Analyst Resumes
Based on analysis of thousands of job postings, these are the most frequently required skills:
SQL
Excel
Tableau
Google Data Studio
Python
BigQuery
MySQL
Data Cleaning
Pivot Tables
Data Visualization
Google Sheets
Reporting
Common Mistakes on Junior Data Analyst Resumes
- ⚠Only saying 'proficient in Excel' - List specific functions: VLOOKUP, INDEX/MATCH, Pivot Tables, Macros.
- ⚠No data volume context - Analyzing 100 rows vs 100K rows tells different stories. Include scale.
- ⚠Hiding the internship - Internships are real experience for junior roles. Feature them prominently.
- ⚠Generic objective statement - Replace 'seeking a challenging role' with a specific metric from your work.
- ⚠Forgetting to mention who used your work - 'Built a dashboard' is weaker than 'Built a dashboard used by the VP of Marketing.'