How do I become a Data Analyst?

Work through the roadmap in order: start with the Core foundations, then layer on the Recommended and Optional skills. The most common entry point into data work: SQL and spreadsheets, cleaning and analyzing data, visualization and BI, and the statistics needed to draw honest conclusions. A natural stepping stone toward data science and analytics engineering.

Is this roadmap based on real sources?

Yes. It is grounded in O*NET - Data Scientists (15-2051.00), Google Data Analytics Certificate. Skill demand and pay are measured live from AI job listings on Kairos.

All roadmaps

Roadmap

Data Analyst

Becoming a Data Analyst means building the skills below in roughly this order. 11 of these skills appear in live Data Analyst listings right now.

Demand and pay updated 30 min ago.

Data foundations

0-2 months

SQL
In demand · 6.9%
Core
The single most important analyst skill - query, filter, join, and aggregate data.
Spreadsheets
Core
Excel / Sheets for quick analysis, pivots, and modeling. Still everywhere.
Descriptive statistics
Core
Averages, distributions, and variance - enough to summarize data without misleading.

Analysis & visualization

2-5 months

Visualization & BI
In demand · 1.0%
Core
Turn analysis into dashboards and reports with Tableau or Power BI.
Python (pandas)
In demand · 27%
Recommended
Move beyond spreadsheets - clean and analyze larger datasets programmatically.
Analytical thinking
In demand · 4.9%
Recommended
Framing questions, choosing the right metric, and telling a clear story with data.

Level up

Ongoing

Warehouses & modeling
In demand · 3.6%
Recommended
Work with modern warehouses (BigQuery/Snowflake) and analytics engineering with dbt.
Inferential statistics & A/B testing
Optional
Hypothesis testing and experiment analysis - the bridge toward data science.
Intro to machine learning
In demand · 24%
Optional
A first pass at predictive modeling once the fundamentals are solid.

Grounded in

O*NET - Data Scientists (15-2051.00) ↗ - Related federal occupation profile.
Google Data Analytics Certificate ↗ - Widely used entry-level analytics curriculum.

Questions

How do I become a Data Analyst?: Work through the roadmap in order: start with the Core foundations, then layer on the Recommended and Optional skills. The most common entry point into data work: SQL and spreadsheets, cleaning and analyzing data, visualization and BI, and the statistics needed to draw honest conclusions. A natural stepping stone toward data science and analytics engineering.
Is this roadmap based on real sources?: Yes. It is grounded in O*NET - Data Scientists (15-2051.00), Google Data Analytics Certificate. Skill demand and pay are measured live from AI job listings on Kairos.