Cushman & Wakefield (NYSE: CWK) is a leading global real estate services firm that delivers exceptional value for real estate occupiers and owners. Cushman & Wakefield is among the largest real estate services firms with approximately 50,000 employees in over 400 offices and 60 countries. In 2021, the firm had revenue of $9.4 billion across core services of property, facilities and project management, leasing, capital markets, valuation and other services

We are actively seeking a highly versatile business analyst who possesses a strong emphasis on client satisfaction. The ideal candidate will play a vital role in delivering comprehensive analytics across all facets of the account, enabling crucial business decisions, and enhancing operational efficiency through process improvements. A strong proficiency in SQL or Power Query is desired as these are the primary methods utilized for data extraction and transformation in this role. Our team aims to utilize the immense potential of Microsoft Power Platforms and Office 365 for data management and analytics. Nonetheless, we highly encourage this candidate to explore cutting-edge technologies beyond Power Platforms and Office 365, ensuring that our team remains at the forefront of the industry.

Job Description

The Business Analyst will be a part of the Business Intelligence team, reporting to the Manager of Analytics and Operations Data. This individual will play a pivotal role in assuring the operational readiness of the C&W Services team, through analyzing/visualizing KPIs, automating current practices, and innovating solutions to help capture new information.

Job Description

• Unified Insights – Unleashing the full potential of abundant data requires integrating and standardizing information from multiple systems to generate a cohesive and comprehensive view that can be easily visualized for actionable insights
• Solutions Design – Foster solutions design innovation by exploring new methodologies, tools, and techniques in data analysis to identify creative and effective approaches for addressing complex business challenges and driving meaningful outcomes
• Automate - Utilize current Power Platforms and Office 365 tools (Excel Macros, Power Automate, PowerBI) to develop automated processes for all business units on the team account (Operations, Safety, Finance, etc.)
• Tell a Story – Develop interactive dashboards, infographics, and visual reports that provide clear and concise representations of complex data sets, catering to individuals across a wide range of skillsets and backgrounds
• Client Centric – Support client KPI reviews with analysis and insights, driving data-driven discussions for optimizing client experiences and achieving business objectives
• Document – Considering the multitude of solutions and strategies to be implemented, it is crucial to have comprehensive documentation readily available for end users
• Teamwork – Build relationships with members from all teams and understand problems that can be fixed with automation or data
• Train – Teach engaged associates skills to increase the team’s technical abilities

Basic Qualifications

• Bachelor's degree in a relevant field of study such as industrial engineering, data analytics, computer science, or operations research
• 2+ Years of experience with operations research or data analytics
• Proficient in Excel (Tables, Power Query, etc.)
• Experience with PowerBI (or similar BI tool)
• Experience with data extraction with either SQL or Power Query
• Passion for constantly learning and/or changing skillsets to solve problems
• Ability to present and communicate effectively with end users
• Must be able to work independently and adapt to change
• Familiar with the overall ETL (Extract, Transform, Load) process with data

Preferred Qualifications

• Experience in Office 365 Tools/Power Platforms (Power Automate, PowerApps, Teams)
• Experience gathering user requirements from end users
• Ability to determine the level of effort to deliver and support a solution
• Exposure to analytics coding (VBA for Excel, R, Python)
• Able to perform well despite complex or ambiguous challenges
• Constructing dataflows and tables with Microsoft Dataverse
• Proficiency in Data Modeling using tools such as Power BI, Microsoft Dataverse, SQL databases, or similar platforms