DBT, Git, and CI/CD: How an Analyst Manages Data as Products

With the adoption of DBT, Git, and CI/CD, analytics stops being just a data request — it becomes a data product that must be documented, testable, repeatable, and stable.
The role of a systems analyst is evolving beyond SQL. Now, the analyst is becoming the owner of data platform components, participating in development, testing, code review, and SLA management.
In this talk, I will share how Git and CI/CD workflows are transforming the analyst’s role, improving data quality and reducing time-to-market for analytical solutions in production.
The talk will include real-world examples from practice, such as:

• how analysts create and manage Git branches,
• how business logic tests are integrated into CI/CD pipelines,
• and how SLA and documentation are becoming part of the development process.