Data and AI

Analytics Engineer

Transforms warehouse data into tested, documented, reusable analytical models and metrics.

Skills

SQL
Importance: Essential (5 of 5)
Expresses complex analytical transformations clearly and efficiently.
Course coverage
- SQL Fundamentals
Data modeling
Importance: Essential (5 of 5)
Designs reusable dimensional and semantic analytical models.
Course coverage
- Data Modeling
Transformation workflows
Importance: Essential (5 of 5)
Builds modular, versioned transformations with dbt-style practices.
Course coverage
- Analytics Engineering
- dbt Fundamentals
Data warehousing
Importance: Essential (5 of 5)
Works effectively with analytical storage and compute platforms.
Course coverage
- Data Warehousing

Data quality
Importance: Essential (5 of 5)
Tests assumptions, freshness, lineage, and model contracts.
Course coverage
- Data Quality
Business intelligence
Importance: Very important (4 of 5)
Delivers governed metrics and usable analytical products.
Course coverage
- Business Intelligence Fundamentals
Data visualization
Importance: Very important (4 of 5)
Communicates quantitative findings accurately and efficiently.
Course coverage
- Data Visualization