JLL

Data Analytics, Technical Director

Orlando, FL, US$120,000-$140,000Posted 30 days ago

Job Description

JLL empowers you to shape a brighter way

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Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.

JLL is seeking a Data Analytics Team Technical Director to join our Real Estate Due Diligence (JREDD) Asset Services team! This is a remote position with up to 25% domestic travel.

This role leads team management and database support for the entire JREDD Asset Services platform. In full collaboration with the Technical Services and Sustainable Operations Center of Excellence (TSSO COE), the Data Analytics Team Lead implements and maintains a metric-based dashboard and reporting system to communicate and visualize progress on strategic initiatives across all accounts.

The purpose of this role is to oversee development and implementations of robust processes and programs to manage and facilitate data management that supports reliability of assets, components, equipment, and processes in accordance with JLL’s enhanced asset management program. Manages the team’s efforts in the overall development, implementation, and configuration of all Asset Services databases. Provides subject matter expertise for all database and application related issues or errors, develops and distributes training materials, and provides coaching and education on database functions and best practices for performing tasks. Manages the QA/QC process on data collected to ensure consistency and adherence to JREDD policies. Provides regular feedback to front line staff and supervision to improve the quality of data collected.

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