Key skills
Data EngineeringAnalyticsBIBusiness IntelligencePower BIPerformance Optimization
About this role
CBRE is a global leader in real estate services, and they are seeking a Business Intelligence Consultant specializing in Data Engineering & Foundations. This role is responsible for building and maintaining the technical backbone of business intelligence, ensuring data accuracy and scalability while partnering with various teams to deliver reliable reporting and analytics solutions.
Responsibilities:
- Design, build, and maintain data models, schemas, and transformations
- Develop and manage data pipelines that ensure timely, accurate data availability
- Own BI platform architecture (e.g., Power BI) for performance, scalability, and reliability
- Implement KPI definitions provided through governance frameworks
- Ensure metrics are calculated consistently and correctly across reports and datasets
- Support a true single source of truth
- Deliver curated datasets, enterprise dashboards, and automated reporting solutions
- Build reusable, standardized frameworks to reduce rework and manual effort
- Optimize performance and reliability of BI assets
- Enforce data standards, naming conventions, and modeling best practices
- Partner with Strategy & Enablement to validate requirements and confirm delivery meets intent
- Support governance enforcement through technical controls
- Monitor data quality, performance, and usage
- Identify opportunities to simplify, automate, or improve BI infrastructure
- Reduce technical debt and reliance on manual processes
Requirements:
- Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future
- Strong experience in BI engineering, data modeling, and analytics platforms
- Expertise in data transformation, schema design, and performance optimization
- Experience with enterprise BI tools (e.g., Power BI)
- Structured, methodical approach with high attention to data quality and reliability
- Ability to partner effectively with non-technical stakeholders through the BI strategy role