CMMS Snr. Analyst

As a CBRE Data Science Manager, you will manage a small to medium-sized team responsible for conducting research and data reporting for a variety of organizational projects and initiatives.

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.

• 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.
• Oversee the basic process and technology for data collection, automation, and visualization.
• Plan for the delivery and update of standard outputs. This includes market share dashboards, compensation scorecards, etc.
• Regularly engage with market principals, brokers, and Field Researchers to get feedback on data dashboards that enhance the ROI of proprietary data.
• Work with national management to track coverage for data collection and visualization.
• Manage work performed by offshore resources.
• 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.

• Bachelor's Degree preferred with 3-5 years of relevant experience. In lieu of a degree, a combination of experience and education will be considered.
• Experience in the areas of staffing, selection, training, development, coaching, mentoring, measuring, appraising, and rewarding performance and retention preferred.
• Ability to guide the exchange of sensitive, complicated, and difficult information, convey performance expectations and handle problems.
• Leadership skills to motivate team impact on quality, efficiency, and effectiveness of the job discipline and department.
• In-depth knowledge of Microsoft Office products. Examples include Word, Excel, Outlook, etc.
• Extensive organizational skills with a strong inquisitive mindset.
• Advanced math skills. Ability to calculate difficult figures such as percentages, fractions, and other financial-related calculations.