SQL
Importance: Essential (5 of 5)
Expresses complex analytical transformations clearly and efficiently.
Course coverage
- SQL Fundamentals
- Advanced SQL for Analytics, SQL Query Optimization for Analysts (planned)
← All career guides7 of 7 skills14 of 23 courses
Data and AI
Analytics Engineer
Transforms warehouse data into tested, documented, reusable analytical models and metrics.
Skill coverage
100%
Course coverage
61%
Skill coverage shows how much of the role's capability map already has a published course. Course coverage shows how much of the mapped course pipeline for this role has shipped.
- Role skills
- 7
- Published coverage
- 7
- Relevant courses
- 14
Capability map
Skills
Importance describes how central each capability is to the role. Course coverage shows where you can build the skill in the current OpenSkills catalog.
01
Analytical modeling
4 capabilities
Data modeling
Importance: Essential (5 of 5)
Designs reusable dimensional and semantic analytical models.
Course coverage
- Data Modeling
- Dimensional Modeling and Star Schema Design, Looker and LookML, Semantic Layer and Metrics Standardization (planned)
Transformation workflows
Importance: Essential (5 of 5)
Builds modular, versioned transformations with dbt-style practices.
Course coverage
Data warehousing
Importance: Essential (5 of 5)
Works effectively with analytical storage and compute platforms.
02
Analytics quality
3 capabilities
Data quality
Importance: Essential (5 of 5)
Tests assumptions, freshness, lineage, and model contracts.
Course coverage
- Data Quality
- Data Lineage
- Data Validation and Anomaly Detection (planned)
Business intelligence
Importance: Very important (4 of 5)
Delivers governed metrics and usable analytical products.
Course coverage
- Business Intelligence FundamentalsFree
- Executive Reporting and Dashboard Design, Power BI Fundamentals, Tableau Fundamentals, Looker and LookML, Semantic Layer and Metrics Standardization (planned)
Data visualization
Importance: Very important (4 of 5)
Communicates quantitative findings accurately and efficiently.
Course coverage
- Data VisualizationFree
- Power BI Fundamentals, Tableau Fundamentals (planned)
Learning path
Relevant courses
Core foundations
The concepts this role is built on.
- Analytics EngineeringFree
- Data Modeling
- Data Quality
- Data Warehousing
- dbt Fundamentals
- SQL Fundamentals
- Advanced SQL for Analytics, Dimensional Modeling and Star Schema Design (planned)
Supporting knowledge
Adjacent knowledge that improves day-to-day judgment.
- Business Intelligence FundamentalsFree
- Data Engineering Fundamentals
- Data Lakes and Lakehouses
- Data Lineage
- Data VisualizationFree
- Databricks Fundamentals
- ETL and ELT
- Snowflake Fundamentals
- Data Validation and Anomaly Detection, Executive Reporting and Dashboard Design, Power BI Fundamentals, Tableau Fundamentals (planned)
Specializations
Deeper paths for particular environments or directions.
- Looker and LookML, Semantic Layer and Metrics Standardization, SQL Query Optimization for Analysts (planned)
Put the map to work
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Search multiple job sources at once with queries tailored to this career, then use the skill map above to evaluate what each role actually asks for.