TL;DR — What to learn first
Start here: SQL and Excel. These two skills appear in the vast majority of junior analyst postings and are enough to get your foot in the door.
Level up: Tableau for dashboards, basic Python for data cleaning, and Google Sheets for team collaboration.
What matters most: Curiosity and communication. Junior analysts who ask good questions and explain findings clearly advance faster than those who just run queries.
What junior data analyst job postings actually ask for
Before learning anything, look at the data. Here’s how often key skills appear in junior data analyst job postings:
Skill frequency in junior data analyst job postings
Core tools
The most requested tool in junior analyst postings. Pivot tables, VLOOKUP/XLOOKUP, IF/SUMIFS, conditional formatting, and chart creation.
Be specific: "Created automated Excel reports using pivot tables and VLOOKUP, reducing weekly reporting time from 4 hours to 30 minutes."
SELECT, WHERE, JOIN, GROUP BY, ORDER BY, and basic aggregate functions. Junior roles do not require window functions on day one, but knowing them puts you ahead.
Similar to Excel but with collaboration features. QUERY function, IMPORTRANGE, conditional formatting, and sharing. Many startups use Google Sheets exclusively.
Building basic dashboards with filters, calculated fields, and interactive elements. Tableau Public is free and perfect for portfolio projects.
Analytical skills
Handling missing values, removing duplicates, standardizing formats, and identifying data quality issues. Junior analysts spend a lot of time cleaning data.
What is revenue? What is churn? What is a conversion rate? Understanding basic business metrics and how they relate to each other.
Basic pandas for data manipulation and matplotlib for charts. Not required for most junior roles but signals initiative.
Creating clear charts, writing concise summaries, and presenting findings. Junior analysts who communicate well get more interesting projects.
How to list junior data analyst skills on your resume
Don’t dump a wall of keywords. Categorize your skills to mirror how job postings list their requirements:
Example: Junior Data Analyst Resume
Why this works: Listing specific Excel and SQL techniques shows real competence, not just tool familiarity.
Three rules for your skills section:
- Only list what you’ve used in a real project. If you can’t answer a technical question about it, don’t list it.
- Match the job posting’s terminology. If they use a specific tool name, use that exact name on your resume.
- Order by relevance, not alphabetically. Put the most important skills first in each category.
What to learn first (and in what order)
If you’re looking to break into junior data analyst roles, here’s the highest-ROI learning path for 2026:
Master Excel fundamentals
Learn VLOOKUP/XLOOKUP, pivot tables, IF/SUMIFS, and chart creation. Practice with real datasets until these functions are muscle memory.
Learn SQL basics
SELECT, WHERE, JOIN, GROUP BY, ORDER BY, and aggregate functions. Practice on free platforms. Solve 50+ practice problems.
Build Tableau dashboards
Create 3–5 dashboards on Tableau Public using real datasets. Share them publicly as your portfolio.
Learn business metrics and presentation skills
Study common business metrics. Practice creating one-page analysis summaries. Present findings to practice stakeholder communication.
Build a portfolio project and apply
Create an end-to-end analysis: find a dataset, clean it, analyze it, visualize it, and write a summary with findings and recommendations.