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Analytics engineer

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Description

An analytics engineer transforms raw data into clean, reliable, well-modeled datasets that analysts and the business can trust. They build and maintain data transformation pipelines (often with tools like dbt), define metrics and data models, document and test data, and bridge the gap between data engineering's raw pipelines and analysts' reporting needs.

The role is a relatively new hybrid, applying software-engineering practices — version control, testing, modularity — to analytics. Analytics engineers work at data-driven companies.

The job suits people who like building the trustworthy data foundation everyone else relies on, caring as much about data quality and maintainability as about the insights drawn from it.

Dimensions

How this role scores across 12 work traits — creativity, structure, autonomy, and more

Career path

Training time 1–2 years
Training type Self-directed
Transition difficulty
7/10 · High
Growth Potential

Labor statistics estimates from 2023–2033

33.5%

Entry-level salary

AI outlook

Resources

Curated learning resources