Business Analytics Engineer

Cushman & Wakefield is a real estate services company seeking a Business Analytics Engineer to develop and maintain data, analytics, reporting, and geospatial solutions for complex real estate portfolios. The role involves transforming data, building dashboards and pipelines, automating processes, supporting portfolio and workplace strategies, and partnering with stakeholders and clients to enable data-driven decisions.

Responsibilities:

• Develop and maintain reporting, analytics, and geospatial solutions that improve visibility into portfolio performance, workplace trends, operational metrics, and business outcomes
• Transform, validate, and manage data from multiple sources to support portfolio intelligence, operational reporting, forecasting, and decision support
• Partner with business stakeholders, account teams, and clients to translate business requirements into reusable technical solutions
• Support portfolio planning, workplace strategy, occupancy analysis, location intelligence, and operational decision-making through insight generation and visualization
• Identify opportunities to improve efficiency through automation, standardization, and adoption of emerging technologies, including AI-enabled tools
• Support the continued evolution of PAG's analytics, reporting, geospatial, and technology capabilities
• Develop dashboarding and reporting solutions that support portfolio performance, workplace strategy, occupancy trends, operational efficiency, and service delivery using Power BI, Looker, Tableau, or similar platforms
• Build and maintain data pipelines, transformation processes, and data models that support analytics and reporting solutions, with Databricks experience strongly preferred
• Integrate data from internal systems, client platforms, commercial real estate technologies, and external sources
• Develop and maintain ArcGIS Online environments, maps, dashboards, and geospatial data products which support location intelligence, market analysis, portfolio optimization, workplace planning, and operational decision-making initiatives
• Identify opportunities to automate repetitive reporting, data preparation, and operational processes
• Leverage AI-enabled tools to improve productivity, accelerate development, and enhance analytics capabilities
• Partner with account teams, business stakeholders, and clients to understand business needs and priorities
• Communicate technical concepts in a clear, understandable manner to both technical and non-technical audiences
• Support user adoption, training, documentation, and continuous improvement efforts

Requirements:

• 3-7 years of experience in business analytics, business intelligence, analytics engineering, reporting, data engineering, or related fields
• Experience developing dashboards, reporting solutions, and analytical products used by business stakeholders
• Experience using business intelligence platforms such as Power BI, Tableau, Looker, or similar tools
• Experience building and maintaining data pipelines within modern cloud analytics platforms
• Strong problem-solving, analytical thinking, and data interpretation skills
• Experience gathering requirements and working directly with business stakeholders
• Ability to translate business requirements into technical solutions and explain complex concepts to business stakeholders, account teams, and clients
• Excellent written and verbal communication skills
• Microsoft Office Suite (Excel, PowerPoint, Word) required
• Business problem solving and analytical thinking
• Data storytelling and visualization
• Technical translation and stakeholder communication
• Real estate and business operations acumen
• Process improvement and automation mindset
• Curiosity and continuous learning
• Collaboration across technical and business teams
• Project organization and prioritization
• Ability to manage multiple priorities in a fast-paced environment
• Continuous improvement mindset focused on scalability, consistency, and measurable business impact
• Databricks experience strongly preferred
• Experience with Databricks, Delta Lake, Unity Catalog, or modern cloud-based analytics platforms
• Experience using Python for analytics, automation, reporting, or workflow development
• Experience supporting commercial real estate, corporate real estate, portfolio planning, workplace strategy, occupancy management, facilities management, or related business functions
• Experience with ArcGIS Online, ESRI products, or geospatial analytics platforms
• Experience within consulting, professional services, or client-facing environments
• Experience leveraging AI-enabled tools such as Microsoft Copilot, Claude, Gemini, ChatGPT, or similar technologies
• Experience working with enterprise reporting, operational analytics, portfolio analytics, workplace analytics, or business performance management
• Google Workspace (Sheets, Docs, Slides) strongly preferred
• Databricks and cloud analytics platforms strongly preferred
• Python or similar scripting languages preferred
• ArcGIS Online, ESRI products, or geospatial technologies preferred
• Commercial real estate, workplace, occupancy, facilities, or portfolio management technologies preferred
• AI-enabled productivity and analytics tools preferred
• Bachelor's degree in Data Analytics, Information Systems, Computer Science, Business, Geography/GIS, Engineering, Mathematics, Real Estate, Finance, Economics, or a related field preferred