LEARNING PATH · BEGINNER-INTERMEDIATE

Data Analyst → Analytics Engineer

Evolve from analytics to software engineering practices

Analytics engineers combine SQL expertise with software engineering principles. This path teaches dbt, version control, testing, and CI/CD—extending your analytical skills with engineering rigor.

3–6 months

8 hrs/week

2 tracks

$125,000–$180,000

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TARGET ROLE

Analytics Engineer, Senior Data Analyst

SALARY RANGE

$125,000–$180,000

DIFFICULTY

Beginner-Intermediate

WHAT'S INCLUDED

Tracks in This Path

This path combines 2 curated learning tracks, sequenced to build on each other.

AI Professional

Build trusted data foundations with dbt

AI Job Seeker

Land analytics engineer roles

LEARNING OUTCOMES

What You'll Be Able To Do

By the end of this path, you'll have concrete, job-ready skills.

Master dbt for data transformation and documentation

Use Git for version control and code review in analytics

Write automated tests for SQL models

Implement CI/CD pipelines for analytics code

Build data documentation that stakeholders trust

Create a portfolio project showcasing dbt best practices

FAQ

Common Questions

Do I need to switch tools or languages?+

You'll use dbt (if not already) and Git (if new). Otherwise, you'll keep using SQL and your data warehouse. It's a natural evolution, not a restart.

What's the salary bump from analyst to analytics engineer?+

Typically 15–30% increase, plus better job security and career growth. Companies value analytical rigor + engineering practices.

How is analytics engineering different from data engineering?+

Analytics engineers focus on the analytics layer (transformations, metrics, reporting). Data engineers build the pipes. Both are valuable and often work closely.

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Ready to start this path?

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Last updated: 2026-03-07