Senior Analyst, Commercial Analytics

Cushman & WakefieldAustin, TX

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.

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).
  • 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.
  • Familiarity with cloud & data services: Azure Data Services (Microsoft Fabric, Azure Storage, Blob Storage access control).

Responsibilities

  • 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.
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