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. The current median pay for Data Analyst roles on Kairos is $178,155 (31 disclosed listings). 10 of these skills appear in live Data Analyst listings right now.

Demand and pay updated 1 day ago.

Data foundations

0-2 months

SQL
In demand · 93%
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 · 42%
Core
Turn analysis into dashboards and reports with Tableau or Power BI.
Python (pandas)
In demand · 71%
Recommended
Move beyond spreadsheets - clean and analyze larger datasets programmatically.
Analytical thinking
In demand · 37%
Recommended
Framing questions, choosing the right metric, and telling a clear story with data.

Level up

Ongoing

Warehouses & modeling
In demand · 50%
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 · 22%
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.