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Senior Analyst, Commercial Analytics

Cushman & Wakefield U.S., Inc.

Ashburn · On-site Full-time Senior $89k – $105k/yr 3w ago

About the role

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.

Required Skills & Experience

  • 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).
  • Proficiency in Python/R is a plus.
  • 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.

Benefits

  • health insurance
  • vision insurance
  • dental insurance
  • flexible spending accounts
  • health savings accounts
  • retirement savings plans
  • life insurance
  • disability insurance
  • paid time away from work
  • unpaid time away from work

Compensation

  • The compensation for the position is: $ 89,250.00 - $105,000.00

Skills

APIAzure Data ServicesBlob StorageDAXExcelMicrosoft FabricPower BIPowerQueryPythonRSQLSharePointTableau

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