Business Analytics Manager (REMOTE role within one of the major markets listed)

Remote Full-time
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.

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