BI; Business Intelligence) and Data Analytics Manager

BGIS ITS is currently seeking a BI and Data Analytics Manager to join the team in Hudson, FL.

• A company that cares and wants you to achieve your career objective.
• A company that offers you flexibility on the types of rewards and recognition that align with your personal situation.
• A company that puts you and your career first

BGIS is a leading provider of customized facility management and real estate services. With our combined team of over 6, 500 globally, we relentlessly focus on enabling innovation through the services we deliver, while actively looking for new opportunities that will enable innovation for our clients’ businesses. Globally, we manage over 320 million square feet of client portfolios across 30,000+ locations in North America, Europe, Middle East, Australia and Asia.

The BI and Data Analytics Manager is responsible for managing the data, business intelligence and analytics for field operations. The role extracts data from multiple sources including work order systems to create dashboards, trends analysis, and business forecasts utilized by account and operations leaders. Critical activities include building and maintaining the BI environment to maximize data integrity, analyze performance, costs, and productivity measurements highlighting business trends and employs AI (Artificial Intelligence) assisted analytics and visualization tools for timely insight delivery.

The position requires advanced knowledge and consistent exercise of discretion and judgement. The BI and Data Analytics Manager positively exemplifies BGIS values and ensures safety, health and environment standards are followed.

• Build and maintain KPI (Key Performance Indicator) dashboards providing business leaders real-time visibility into performance, SLA (Service Level Agreement) compliance, and team productivity measurements.
• Analyze operational, financial, and productivity trends including SLA performance, decreased margin, and talent utilization, to identify root causes and forecast anticipated business success outcomes.
• Apply AI-powered data visualization and analytics tools to build dashboards more efficiently and highlight trends that may not be initially apparent to leaders reviewing multiple data sources.
• Translate raw operational data into a clear narrative for non-technical stakeholders outlining the story behind the numbers.
• Manage data integrity, reporting accuracy, distribution, and frequency updates creating valuable tools for business leaders decision making.
• Conduct value analysis, identifies, develops, and recommends value creation and efficiency opportunities based on findings as well as understanding of client business strategy and needs.
• Develop road maps to achieve client requirements for greater value creation. Develop and recommend options to support the implementation of roadmaps.
• Contribute to the completion of other key initiatives as assigned.

• Define data governance guidelines on the roles, policies, and tools to ensure proper data quality and usage throughout the data lifecycle including how data is collected, stored, used, and removed.
• Assign data stewards for critical client, location, and assets information, and establish certification requirements for data entry, editing, and retrieval.
• Champion change management with various internal audiences and adoption of platform and dashboard with reference materials, facilitation, and integrated feedback on performance of data tools.
• Collaborate with business subject matter experts to identify and define relevant and flexible solutions adaptable to growth modeling.
• Develop and recommend formatting for tracking and reporting on achievement of client requirements.
• Evaluate continuous improvement processes for data accuracy, completeness, and reliability.
• Monitor security with restricting access to sensitive data and protecting it against breaches.
• Ensure compliance with internal regulations and external legal requirements regarding data handing.

• Maximize integration and utilization of current data platform evaluating architecture and best in class functionality to meet current and future business needs.
• Serve as primary point of contact for work order systems and other data collection points including internal knowledge sharing and external vendor management.
• Demonstrate understanding of business…