Senior Analyst, Commercial Analytics

Cushman & Wakefield•Chicago, IL

About The Position

Senior Analyst, Commercial Analytics, Quantitative Insights Group Key Objectives: Supports the delivery and evolution of advanced commercial analytics and business intelligence solutions across the Americas platform. This role plays a critical part in enabling scalable, high-impact analytics that enhance client delivery, broker/fee earner engagement, and strategic business development efforts. Works in close collaboration with senior stakeholders, including brokerage/fee earner professionals, research leadership, and cross-functional analytics teams, to ensure seamless integration of data-driven insights into advisory workflows. Commercial Analytics Execution & Enablement (50%) Broker & Client-Facing Analytics Support Contribute to the development and delivery of scalable analytics tools and visualizations that support fee-based and strategic engagements, including portfolio analysis, market valuations, and forecasting. Collaborate with senior brokerage and other fee earning professionals to tailor analytics solutions for specific client needs and business development opportunities. Visualization & Storytelling Translate complex commercial real estate dynamics into compelling visual narratives using advanced BI tools (e.g., Power BI, Tableau). Support the creation of bespoke dashboards and visualizations that elevate the firm’s advisory capabilities at the point of sale. Automation & Technical Implementation Assist in the implementation of automation pipelines and reporting redundancies that improve platform efficiency and reduce manual workload. Partner with QIG (Quantitiative Insights Group) teams and technical stakeholders to integrate data sources, including proprietary QIG outputs, and optimize analytics workflows. Platform Adoption, Training & Strategic Support (30%) Enablement & Training Facilitate adoption of commercial analytics tools across the Americas Advisory business by translating technical concepts into accessible formats for non-technical stakeholders. Deliver training and support to fee earners and sales enablement teams to maximize platform utility. Cross-Functional Collaboration Work closely with research, TDS (Technology Data Solutions), PRI (Property Research & Intelligence), and other internal teams to ensure alignment of analytics initiatives with broader platform goals. Integrate production from other QIG teams into deliverables with appropriate balance of independence / collaboration. Technical Expertise & Innovation (20%) Data Engineering & BI Development Apply advanced skills in data visualization, programming (Python, R), and database management (SQL, PowerQuery) to support analytics delivery. Maintain high standards of design and data integrity across all outputs. Tool Creation & Problem Solving Proactively identify opportunities for tool development and automation. Demonstrate strong analytical thinking and problem-solving capabilities to address evolving business needs. Technology Fluency Leverage deep familiarity with the Microsoft ecosystem, APIs, and data architecture to support seamless analytics integration.

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).
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.
Ability to multitask in a fast-paced environment.

Nice To Haves

Proficiency in Python/R is a plus.

Responsibilities

Contribute to the development and delivery of scalable analytics tools and visualizations that support fee-based and strategic engagements, including portfolio analysis, market valuations, and forecasting.
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 using advanced BI tools (e.g., Power BI, Tableau).
Support the creation of bespoke dashboards and visualizations that elevate the firm’s advisory capabilities at the point of sale.
Assist in the implementation of automation pipelines and reporting redundancies that improve platform efficiency and reduce manual workload.
Partner with QIG (Quantitiative Insights Group) teams and technical stakeholders to integrate data sources, including proprietary QIG outputs, and optimize analytics workflows.
Facilitate adoption of commercial analytics tools across the Americas Advisory business by translating technical concepts into accessible formats for non-technical stakeholders.
Deliver training and support to fee earners and sales enablement teams to maximize platform utility.
Work closely with research, TDS (Technology Data Solutions), PRI (Property Research & Intelligence), and other internal teams to ensure alignment of analytics initiatives with broader platform goals.
Integrate production from other QIG teams into deliverables with appropriate balance of independence / collaboration.
Apply advanced skills in data visualization, programming (Python, R), and database management (SQL, PowerQuery) to support analytics delivery.
Maintain high standards of design and data integrity across all outputs.
Proactively identify opportunities for tool development and automation.
Demonstrate strong analytical thinking and problem-solving capabilities to address evolving business needs.
Leverage deep familiarity with the Microsoft ecosystem, APIs, and data architecture to support seamless analytics integration.

Benefits

Cushman & Wakefield also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health, vision, and dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life, and disability insurance programs, and paid and unpaid time away from work.
In addition to a comprehensive benefits package, Cushman and Wakefield provide eligible employees with competitive pay, which may vary depending on eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of collective bargaining agreements.

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