Business Analytics Engineer

Bachelor's degree in Data Analytics, Information Systems, Computer Science, Business, Geography/GIS, Engineering, Mathematics, Real Estate, Finance, Economics, or a related field preferred. Equivalent experience may be considered.

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: $ 106,250.00 - $125,000.00Cushman & 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 . Please refer to the job title and job location when you contact us.

INCO: “Cushman & Wakefield”

Originally posted on Himalayas

• Experience within consulting, professional services, or client-facing environments.
• Experience leveraging AI-enabled tools such as Microsoft Copilot, Claude, Gemini, ChatGPT, or similar technologies.
• Experience working with enterprise reporting, operational analytics, portfolio analytics, workplace analytics, or business performance management.

Technology & Tools

• 3-7 years of experience in business analytics, business intelligence, analytics engineering, reporting, data engineering, or related fields.
• Experience developing dashboards, reporting solutions, and analytical products used by business stakeholders.
• Experience using business intelligence platforms such as Power BI, Tableau, Looker, or similar tools.
• Experience building and maintaining data pipelines within modern cloud analytics platforms. Databricks experience strongly preferred.
• Experience with Databricks, Delta Lake, Unity Catalog, or modern cloud-based analytics platforms.
• Experience using Python for analytics, automation, reporting, or workflow development.
• Experience supporting commercial real estate, corporate real estate, portfolio planning, workplace strategy, occupancy management, facilities management, or related business functions.
• Commercial real estate, workplace, occupancy, facilities, or portfolio management technologies preferred.

Capabilities

Business problem solving and analytical thinking.

Data storytelling and visualization.

Technical translation and stakeholder communication.

Real estate and business operations acumen.

Process improvement and automation mindset.

Curiosity and continuous learning.

Collaboration across technical and business teams.

Project organization and prioritization.

• Experience gathering requirements and working directly with business stakeholders.
• Ability to translate business requirements into technical solutions and explain complex concepts to business stakeholders, account teams, and clients.