Supports the delivery and evolution of advanced commercial analytics and business intelligence solutions across the Americas platform.
Works in close collaboration with senior stakeholders, including brokerage/fee earner professionals, research leadership, and cross-functional analytics teams.
Contribute to the development and delivery of scalable analytics tools and visualizations that support fee-based and strategic engagements.
Collaborate with senior brokerage and other fee earning professionals to tailor analytics solutions for specific client needs and business development opportunities.
Translate complex commercial real estate dynamics into compelling visual narratives.
Assist in the implementation of automation pipelines and reporting redundancies that improve platform efficiency.
Facilitate adoption of commercial analytics tools across the Americas Advisory business.
Deliver training and support to fee earners and sales enablement teams to maximize platform utility.
Apply advanced skills in data visualization, programming (Python, R), and database management (SQL, PowerQuery) to support analytics delivery.
Proactively identify opportunities for tool development and automation.
Requirements
Bachelors degree in Computer Science, Data Science, Statistics, Economics, Finance or related field
3-5 years of work experience in an analytical production environment
3-5 years of data querying experience (SQL)
Proficiency in Python/R is a plus
Familiarity with cloud & data services: Azure Data Services (Microsoft Fabric, Azure Storage, Blob Storage access control)
3-5 years of data integration experience: APIs, Excel automation, cloud data sources (Azure, SharePoint, SQL Server)
Minimum of 2 years of data visualization and BI tool experience: PowerBI, DAX, PowerQuery M
Domain Knowledge: Familiarity with real estate, transactional, and demographic/labor data structures and concepts.
Soft Skills: Strong communication, problem-solving, and ability to work collaboratively across functions.