UOL EdTech

Analytics Engineer

• Define and evolve the semantic layer and business metrics, aligned with dimensional modeling (Kimball) and the Medallion architecture
• Develop and maintain dbt models in the analytics layer (Gold marts), including incremental models, automated tests, documentation, and reusable macros
• Build and govern analytical products in Power BI, including semantic models, DAX, RLS, publication to the Power BI Service, certified datasets, and organized workspaces
• Evolve explores and views in Looker (LookML), measures, derived tables, multi-tenant governance, and embedding where applicable in SaaS products
• Write advanced SQL on Azure Synapse Analytics, BigQuery, and consumption views, with a focus on performance for BI and self-service analytics
• Implement downstream quality practices, Data Contracts, testing, and monitoring
• Serve as a technical reference at the intersection of data engineering, business, and product
• Promote DataOps, Git/PRs, code reviews, and metrics documentation
• Support AI/ML initiatives with clean, stable, and well-defined analytical data foundations

Data Analyst – Analytics Engineer