Business Analyst

Cushman & Wakefield is seeking a Business Analyst to join its Data & Analytics team. The role delivers operational reporting, scalable automation, KPI visibility, reliable data pipelines, and forward-looking insights to support decision-making and performance across multiple contract lines.

Responsibilities:

• Unified Insights: Integrate and standardize data across systems to deliver a single, actionable view of performance for faster, better decisions
• Automation: Build scalable workflows and data pipelines using Power Platform, Office 365 tools, Smartsheet, and Databricks to improve efficiency across business units
• Data Storytelling: Develop dashboards and visual reports that translate complex data into clear insight for technical and non-technical audiences
• AI-Enabled Analysis: Apply AI-assisted methods to accelerate analysis, identify patterns, and generate forward-looking insight ahead of stakeholder demand
• Client Impact: Support KPI reviews with rigorous analysis and actionable recommendations that improve performance and advance client objectives
• Cross-Functional Partnership: Build trusted relationships across teams, identify opportunities for data-driven improvement, and help translate business needs into scalable solutions
• Capability Building: Share knowledge, elevate team proficiency, and strengthen adoption of analytics and automation across the broader organization

Requirements:

• Bachelor's degree in industrial engineering, data analytics, computer science, operations research, or a related field
• 3–5 years of experience in data analytics, analytics engineering, operations research, or a similar analytical role
• Advanced Excel skills, including VBA, Power Query, and complex data modeling
• Experience with Power BI or a comparable BI platform, including production-quality dashboards and data models
• Working knowledge of Databricks or the ability to ramp quickly; familiarity with lakehouse architecture, notebooks, and pipeline design is preferred
• Strong SQL skills for data extraction, transformation, and validation; experience with cloud data warehouse environments such as Redshift or similar platforms required
• Demonstrated ability to work independently, anticipate needs, prioritize effectively, and operate with agility in a fast-paced environment
• Strong understanding of business processes and where analytics and automation can drive measurable improvement
• Ability to interpret contractual KPI requirements and translate them into accurate, reliable reporting
• Strong analytical rigor, including the ability to validate calculation logic, assess metric integrity, and identify issues before they create downstream risk
• Detail-oriented and intellectually curious, with the ability to trace data quality issues to root cause and communicate findings clearly to technical and non-technical audiences
• Experience with Power Platform and Office 365 tools, including Power Automate, Power Apps, SharePoint, and Teams
• Experience building and maintaining Smartsheet solutions, including forms, automated workflows, and source tables
• Proficiency in Python for data analysis and automation, including the ability to write, maintain, and enhance production-quality scripts
• Experience building forecasting pipelines or predictive models using time series, regression, or machine learning techniques
• Demonstrated use of AI tools in a professional setting to accelerate analysis, improve output quality, and surface insight
• Experience constructing dataflows and tables in Microsoft Dataverse
• Experience designing relational or cloud-based data models, including fact and dimensional schemas