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Learn Marketing Analyst Career Track

The path to marketing analyst and data roles — GA4, attribution, dashboards, SQL basics, and getting hired.

Build the analytics skills marketing analyst roles require
Develop proficiency in GA4, Looker Studio, and data tools
Understand the marketing analyst career path and expectations
Create an analytics portfolio that demonstrates real capability
Free forever No signup required Progress saved locally 15 lessons

Three tracks — pick your level. Progress is saved automatically in your browser.

BeginnerStart here. No prior knowledge assumed.
0 of 5 complete
Lesson 1
Marketing Analyst Role Overview
What marketing analysts do, the tools they use, and how the role differs from data analyst and BI roles.
Lesson 2
GA4 for Analysts
Advanced GA4 usage — explorations, segments, attribution, and the reports that answer real business questions.
Lesson 3
Conversion Tracking Setup
GA4 events, GTM, and the measurement infrastructure analysts need to understand and maintain.
Lesson 4
Attribution Modelling
Multi-touch attribution, the limits of GA4, and how to interpret channel contribution honestly.
Lesson 5
Looker Studio Dashboards
Building automated dashboards that communicate marketing performance to stakeholders.

What is the most in-demand analytics skill in marketing roles?

What does attribution modelling try to answer?

IntermediateBuild on the basics.
0 of 5 complete
Lesson 1
Marketing Analytics Metrics
CAC, LTV, ROAS, payback period — the business metrics that connect channel data to real decisions.
Lesson 2
Excel and Sheets for Marketing
The spreadsheet skills every marketing analyst needs — pivot tables, VLOOKUP, and data manipulation.
Lesson 3
SQL Basics for Marketing
The SQL skills that open up more senior analytics roles — SELECT, JOIN, GROUP BY, and querying marketing data.
Lesson 4
A/B Test Analysis
Reading test results correctly, statistical significance, and the common mistakes analysts catch.
Lesson 5
Analytics Auditing
Identifying data quality issues, configuration problems, and reporting gaps.

Why is SQL valuable for marketing analysts?

What makes an analytics dashboard actually useful?

AdvancedDepth, edge cases and strategy.
0 of 5 complete
Lesson 1
Data Visualisation
Choosing the right chart for the data, design principles, and making dashboards that get used.
Lesson 2
AI Tools for Data Analysis
Julius AI, ChatGPT Code Interpreter, and how AI accelerates data analysis without replacing analytical thinking.
Lesson 3
Stakeholder Communication
Presenting data findings to non-technical audiences — the skill that accelerates analytics careers.
Lesson 4
Analytics Career Progression
From junior analyst to senior to analytics manager — what each step requires.
Lesson 5
Building an Analytics Portfolio
Projects, case studies, and how to demonstrate analytical skill before you have a senior role.

What is the key career move from analyst to senior analyst?

How do AI tools change the analytics role?

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