Senior Analyst, Commercial Analytics
Confirmed live in the last 24 hours
Cushman & Wakefield
Compensation
$89,250 - $105,000/year
Job Description
Job Title
Senior Analyst, Commercial AnalyticsJob 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 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.
- 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.
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.
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.
The compensation that will be offered to the successful candidate will depend on factors such as whether the position is covered by a collective bargaining agreement, the geographic area in which the work will be performed, market pay rates in that area, and the candidate’s experience and qualifications.
The company will not pay less than minimum wage for this role.
The compensation for the position is: $ 89,250.00 - $105,000.00Cushman & Wakefield is an Equal Opportunity employer to all protected groups, including protected veterans and individuals with disabilities. Discrimination of any type will not be tolerated.
In compliance with the Americans with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position at Cushman & Wakefield, please call the ADA line at 1-888-365-5406 or email Accommodations@cushwake.com. Please refer to the job title and job location when you contact us.
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