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Business Intelligence (BI) Engineer
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Robert Half
Santa Ana, CA (In Person)
Full-Time
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Job Description
We are looking for a Business Intelligence (BI) Engineer to join a team in Santa Ana, California, in a contract-to-permanent role. This position focuses on building scalable analytics and data solutions across modern Microsoft platforms while turning complex business needs into clear reporting and insight tools. The ideal candidate brings strong experience in BI engineering, data modeling, and enterprise reporting, along with the ability to collaborate closely with technical teams and business stakeholders.
Responsibilities:
- Build, test, and support enterprise BI and analytics solutions using Microsoft Azure services such as Azure SQL Database, Microsoft Fabric, Azure Synapse Analytics, and Azure Data Lake.
- Create dynamic dashboards, reports, scorecards, and visual storytelling assets in Power BI to support decision-making across the business.
- Manage the Power BI Service environment, including workspace administration, gateway configuration, security setup, deployment workflows, and governance practices.
- Partner with stakeholders to define reporting goals, convert business requirements into scalable data solutions, and deliver meaningful analytical insights.
- Develop and refine semantic layers, dimensional models, and enterprise datasets to improve reporting accuracy, usability, and performance.
- Build and maintain ETL and data integration workflows using tools such as Azure Data Factory, Microsoft Fabric Dataflows, Informatica, and related technologies.
- Apply data security, governance, and quality standards, including row-level security and compliance controls, across reporting platforms.
- Coordinate with onsite, offshore, and cross-functional teams to keep projects on schedule, support delivery milestones, and maintain execution quality.
- Provide technical leadership to BI developers and analysts through mentoring, guidance, reviews, and knowledge sharing.
- Contribute to analytics modernization efforts by recommending cloud-based improvements, supporting self-service reporting, and exploring AI-enabled analytics opportunities.