Digitalization & Transformation

Analytics Engineer

understanding how an Analytics Engineer turns raw data into reliable models for BI and analysis

Discover the Analytics Engineer role: data modeling, SQL, transformations, testing, documentation, the analytics layer, collaboration with Data Analysts, and a real-world case improving indicator reliability.

A discovery and orientation course — does not constitute a professional certification.

What you'll cover — 8 lessons

01 Discovering the career
02 Understanding day-to-day responsibilities
03 Understanding the working environment
04 Discovering the tools and technologies
05 Identifying the required skills
06 Following a concrete professional case
07 Building your path toward this career
08 Orientation workshop

Analytics Engineer

9,90 €

excl. VAT · 80 credits included

Your Skills Development Pathway

Recommended Mandragore courses to develop the skills required for this career.

🎯 Essential

Power BI

The core tool for structuring and exposing reliable data for analysis.

Python

Useful for automating data preparation and reliability.

SQL

The foundational skill for transforming and structuring data.

Data Modeling & Pipelines

The core technical path for the Analytics Engineer role.

🧩 Recommended

Excel

Useful for manual validation and quick data exploration.

➕ Complementary

ChatGPT

Speeds up documentation and query generation.