




Our client provides a full\-service platform that helps companies hire, manage, and support contract workers. We maintain a rich data ecosystem that powers decision\-making across Finance, FP\&A, Client Operations, and Executive Leadership. We’re looking for a technical and financially savvy data professional to own and scale our reporting environment. You’ll be the primary owner of our **Snowflake \+ Tableau** data stack—integrating platform data, external sources, and financial logic to deliver accurate, insightful reporting. This role blends **data engineering, analytics, and financial acumen** to support client invoicing, monthly close, profitability analysis, and company\-wide KPIs. As a Data Analytics Engineer, you'll: * **Own and enhance** our **Snowflake** data warehouse: ensure data accuracy, integrity, and performance * **Design and manage ETL pipelines** pulling from the HireArt platform, Google Sheets, and other sources. * **Develop advanced SQL logic** (joins, window functions, stored procedures) to support evolving financial and operational reporting. * **Partner with Finance \& FP\&A** to align data outputs with monthly close, invoicing, and executive reporting. * **Build and maintain Tableau dashboards** for executives, finance, and client\-facing teams. * **Document data pipelines and logic** for transparency and knowledge sharing. * **Support** **ad\-hoc analyses** (margin decomposition, client profitability, headcount forecasts). * **Lead long\-term initiatives** to migrate logic into the HireArt platform and automate self\-service analytics. **Requirements:** * 5–8\+ years in data engineering, analytics engineering, or BI roles with strong financial exposure. * Expert SQL skills (complex joins, CTEs, window functions, stored procedures). * Proven experience with Snowflake, Tableau, and modern ETL/orchestration tools (e.g., dbt, Airflow, Fivetran). * Solid understanding of financial reporting: margins, cost allocations, accruals, markups. * Experience supporting Finance / FP\&A teams or working within SaaS or professional\-services models. * Ability to translate business questions into scalable data solutions. Job Types: Part\-time, Contract Pay: R$108\.00 \- R$160\.00 per hour


