Business Analytics Engineer

Location: Creve Coeur, Missouri, USA

Salary: $106,250–$125,000 per year

Company

Cushman & Wakefield provides commercial real estate and portfolio advisory services.

What you will do

• Develop dashboards, reporting, analytics, and geospatial solutions for portfolio performance, workplace strategy, occupancy trends, operational efficiency, and service delivery.
• Build and maintain data pipelines, transformation processes, and data models using data from internal systems, client platforms, commercial real estate technologies, and external sources.
• Develop ArcGIS Online environments, maps, dashboards, and geospatial data products for location intelligence, market analysis, portfolio optimization, and workplace planning.
• Automate repetitive reporting, data preparation, and operational processes, including the use of AI-enabled tools.
• Partner with account teams, business stakeholders, and clients to translate business needs into reusable technical solutions.
• Support user adoption through training, documentation, communication, and continuous improvement.

Requirements

• 3–7 years of experience in business analytics, business intelligence, analytics engineering, reporting, data engineering, or a related field.
• Experience developing dashboards, reporting solutions, and analytical products for business stakeholders.
• Experience with Power BI, Tableau, Looker, or similar business intelligence platforms.
• Experience building and maintaining data pipelines in modern cloud analytics platforms; Databricks is strongly preferred.
• Strong problem-solving, analytical thinking, data interpretation, requirements gathering, and stakeholder communication skills.
• Bachelor’s degree in data analytics, information systems, computer science, business, geography/GIS, engineering, mathematics, real estate, finance, economics, or a related field preferred; equivalent experience may be considered.

Nice to have

• Experience with Databricks, Delta Lake, Unity Catalog, Python, ArcGIS Online, ESRI products, or geospatial analytics.
• Experience in commercial real estate, portfolio planning, workplace strategy, occupancy management, facilities management, consulting, or professional services.
• Experience using AI-enabled tools such as Microsoft Copilot, Claude, Gemini, or ChatGPT.
• Experience with enterprise reporting, operational analytics, portfolio analytics, workplace analytics, or business performance management.

Culture & Benefits

• Collaboration across technical teams, business stakeholders, account teams, and clients.
• Focus on scalability, consistency, measurable business impact, automation, and continuous learning.
• Eligible employees may enroll in health, vision, dental, flexible spending, health savings, retirement, life, and disability insurance programs.
• Paid and unpaid time away from work is available to eligible employees.