Analytics Engineer
Bridge33 Capital
Analytics Engineer
Bridge33 is looking for an Analytics Engineer to help build and maintain the datasets that power decision-making across the business. You'll work at the center of our data platform modeling raw data from our property management and financial systems into clean, tested, well-documented sources of truth, and delivering reporting that business stakeholders use. This is a hands-on role on a small, fast-moving team. You'll have real problems end-to-end: from understanding a messy source system, to modeling it in dbt, to shipping dashboards and AI connectors and explaining the numbers to the people who depend on them.
Essential Duties And Responsibilities:
- Design, build, and maintain data models in dbt that serve as trusted sources of truth for the business.
- Write clearly, optimized, well-tested SQL, this is the core of the job.
- Develop a deep understanding of our data sources (property management, accounting, and operational systems) and become a go-to expert on their nuances.
- Build dashboards and reports for business stakeholders and partners with them to turn vague questions into concrete, data-backed answers.
- Write and run Python scripts to automate workflows, move data, and eliminate manual processes.
- Follow modern development practices: version control with Git/GitHub, code review, CI/CD, documentation, and data quality testing.
- Proactively monitor and improve data quality catch issues before the business does.
Vacancy posted 5 days ago
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