Pre-vetted BI Engineer talent, fully managed delivery, outcome-based pricing. Onboarded in days — not months. No hiring overhead.
A BI Engineer pod from AiDOOS is a pre-assembled execution unit — vetted talent, a delivery manager, and the tooling to ship outcomes against your roadmap. We handle vetting, onboarding, governance, and reporting. You review shipped work against milestones.
BI (Business Intelligence) Engineers at AiDOOS build the reporting and analytics layer that business teams operate on. Specialists cover BI platforms (Looker, Tableau, Power BI, Metabase), semantic-layer modeling (dbt, LookML), data-warehouse query optimization, and the dashboard / report design discipline that makes business intelligence usable rather than ignored. Typical seniority: 4–8 years of analytics-engineering experience.
BI Engineers fit pods doing greenfield analytics-platform builds, modernization of legacy BI estates accumulated over years, and embedded-analytics work for SaaS products that surface data to customers. The role pairs cleanly with Data Engineers (who build the pipelines) — together they own the full analytical-data stack.
AiDOOS maintains a pre-vetted bench. Kickoff happens after scope alignment — not after a 60–90 day hiring funnel.
Every pod ships with a delivery manager, code-review SLAs, integration with your GitHub / Jira / Monday, and milestone reporting. Outcomes are auditable.
Add or release BI Engineer talent without long-term commitments. Outcome-based pricing means you only pay for shipped work.
Tell us the outcomes you want shipped. We'll come back with a pod composition, milestone plan, and a pricing proposal — usually within 48 hours.