Browse 10 exciting jobs hiring in Business Intelligence Engineer now. Check out companies hiring such as Boston Red Sox, ProSidian Consulting, LLC, Shi in San Francisco, San Antonio, Jacksonville.
The Red Sox are hiring a Data Engineer to maintain and enhance their GCP-based data architecture, building ETL pipelines and monitoring to support business teams across the organization.
ProSidian is hiring a Reporting Automation Engineer to build automated reporting pipelines and BI solutions that drive HR analytics and modernization for federal clients in the Alexandria, VA area.
A technically strong consultant role focused on building accessible, scalable Power BI and Microsoft analytics solutions that turn complex data into actionable insights for enterprise clients.
Senior technical leader needed to architect Nielsen’s marketing data cloud, build predictive and prescriptive analytics, and drive measurement strategies that connect data engineering to executive decision-making.
Lead the BI engineering efforts at sweetgreen to design the BI data layer, administer Tableau, and deliver high-impact, governed analytics for business stakeholders.
IEM is hiring a BI Developer (Engineering Analytics) to build trustworthy Snowflake/dbt data models and Tableau analytics that explain engineering throughput and drive operational decisions in a make-to-order manufacturing environment.
A data-focused BI Engineer is needed to build and maintain ingestion pipelines, dbt models, Redshift structures, and Power BI reports for a high-growth marketplace management firm.
Turnitin seeks a hybrid Dallas-based Business Intelligence Analyst (Analytics Engineer) to lead dbt-based data modeling, manage ETL orchestration, and deliver stakeholder-facing analytics with AI-driven enhancements.
Turnitin is hiring a remote BI Analyst who will build production-grade dbt models, manage Dagster/Airflow pipelines in Redshift, and translate analytics into actionable RevOps insights while exploring AI/ML enhancements.
Experienced Analytics Engineer needed to migrate legacy workflows to dbt, build Redshift data models, manage Dagster/Airflow pipelines, and translate analytics into RevOps impact while exploring AI/LLM and SageMaker applications.
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