Job Title

Job Description Summary

Job Description

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 firms 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.

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