About the Role: As a CBRE Business Intelligence Manager, you will manage a small to medium-sized team responsible for data integration, operational reporting, ad-hoc analysis, dashboards, and data mining exercises.
This job is part of the Data Science & Analytics job function. They are responsible for reviewing data that supports improving effectiveness and predicting outcomes to develop business intelligence.
What You’ll Do: - Leverage data platforms and visualization tools—including Tableau, Vantage, Power BI, and SQL—to build insights, develop reporting solutions, and support data‑driven decision making across the organization.
- Provide formal supervision to employees. Monitor the training and development of staff. Conduct performance evaluations and coaching. Oversee the recruiting and hiring of new employees.
- Coordinate and manage the team's daily activities. Establish work schedules, assign tasks, and cross-train staff. Set and track staff and department deadlines. Mentor and coach as needed.
- Work with business partners to create policies and execute corporate initiatives. Design business metrics for accountability. This includes client rankings, aggregate portfolio additions, run-off, etc.
- Oversee small projects and help coordinate personnel from other departments and information technology groups.
- Manage the end-to-end model development process from problem identification through data gathering, evaluation, gaining consensus, and implementation into business practice.
- Track performance measurement, reporting, and campaign optimization. This includes performance vs. KPI, ROI, and consumer trends.
- Prepare and present results of data review and reports along with their relative impact(s) to the business to Sr. management.
- Lead by example and model behaviors consistent with CBRE RISE values. Influence parties of shared interests to reach an agreement.
- Apply knowledge of own discipline and how own discipline integrates with others to achieve team and departmental objectives.
- Identify, troubleshoot, and resolve day-to-day and moderately complex issues which may or may not be evident in existing systems and processes.