Data Analyst
                CBRE
                    •
                    New York, NY
            
            Company
CBRE
Location
New York, NY
Type
Full Time
Job Description
Data Analyst
Job ID
226462
Posted
25-Jun-2025
Service line
GWS Segment
Role type
Full-time
Areas of Interest
Digital & Technology/Information Technology
Location(s)
Dallas - Texas - United States of America, Los Angeles - California - United States of America, New York City - New York - United States of America
About the role
As a CBRE Data Analyst, you will perform basic analysis to ensure that recommendations and business conclusions are backed by thorough data research and findings.
This job is part of the Data Science & Analytics job function. They are responsible for reviewing data that supports improving effectiveness and predicting outcomes to develop business intelligence.
What you’ll do
• Coordinate data aggregation and curate reports using existing business intelligence and reporting applications.
• Perform ad-hoc, strategic review of structured and unstructured data, reflecting global real estate markets and the operations of real estate assets.
• Assist with developing data structures and pipelines to organize, collect, cleanse, and standardize information to generate insights.
• Define basic data requirements and gather information using judgment and statistical tests.
• Use programming and evaluation tools, including open-source programs to plan models and extract insights.
• Apply modeling and optimization methods to improve business performance.
• Develop ad-hoc reporting based on the review of existing data sources.
• Exhibit rigor, judgment, and ability to present a detailed 'data story' to a business line.
• Confirm the quality and integrity of existing data sources.
• Collaborate with the agile development team to provide recommendations and communications on enhancing existing or new processes and programs.
• Have some knowledge of standard principles with limited practical experience in applying them.
• Lead by example and model behaviors that are consistent with CBRE RISE values.
• Impact the quality of own work.
• Work within standardized procedures and practices to achieve objectives and meet deadlines.
• Exchange straightforward information, ask questions, and check for understanding.
What you’ll need
• Bachelor's Degree preferred with up to 3 years of relevant experience. In lieu of a degree, a combination of experience and education will be considered. MCSE and CNE Certification preferred.
• Ability to use existing procedures to solve standard problems.
• Experience with analyzing information and standard practices to make judgments.
• In-depth knowledge of Microsoft Office products. Examples include Word, Excel, Outlook, etc.
• Organizational skills with a strong inquisitive mindset.
Why CBRE?
We value a culture of respect, integrity, service and excellence crafts our approach to every opportunity! We are guided by the needs of the cities we inhabit, the communities we build, and the world we thrive in.
Competitive pay and benefits including Medical, Dental, Vision, PTO, 401k, and more that start 1st of the month. Internal advancement available after 6 month mark.
• FORTUNE Most Admired Company #1in real estate for third consecutive year;Tenyears in a row on the list.
• ForbesNamed one of thebest large employersin America and one of theWorld's Best Employers!
Disclaimers
• Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future
• Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future
Not-Bonus Eligible:CBRE carefully considers multiple factors to determine compensation, including a candidate’s education, training, and experience. The maximum salary for the Data Analyst position is $132300 annually. The compensation that is offered to a successful candidate will depend on the candidate’s skills, qualifications, and experience. This role will provide the following benefits: 401(K), Dental insurance, Health insurance, Life insurance, and Vision insurance.
Bonus Eligible:CBRE carefully considers multiple factors to determine compensation, including a candidate’s education, training, and experience. The maximum salary for the Data Analyst position is $132300 annually. The compensation that is offered to a successful candidate will depend on the candidate’s skills, qualifications, and experience. Successful candidates will also be eligible for a discretionary bonus based on CBRE’s applicable benefit program. This role will provide the following benefits: 401(K), Dental insurance, Health insurance, Life insurance, and Vision insurance.
Equal Employment Opportunity:CBRE has a long-standing commitment to providing equal employment opportunity to all qualified applicants regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, pregnancy, age, citizenship, marital status, disability, veteran status, political belief, or any other basis protected by applicable law.
Candidate Accommodations:CBRE values the differences of all current and prospective employees and recognizes how every employee contributes to our company’s success. CBRE provides reasonable accommodations in job application procedures for individuals with disabilities. If you require assistance due to a disability in the application or recruitment process, please submit a request via email [email protected] via telephone at +1 866 225 3099 (U.S.) and +1 866 388 4346 (Canada).
CBRE GWS
CBRE Global Workplace Solutions (GWS) works with clients to make real estate a meaningful contributor to organizational productivity and performance. Our account management model is at the heart of our client-centric approach to delivering integrated real estate solutions. Each client is entrusted with a dedicated leader and is supported by regional and global resources, leveraging the industry's most robust platform. CBRE GWS delivers consistent, measurably superior outcomes for our clients at every stage of the lifecycle, and across industries and geographies.
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        Date Posted
06/25/2025
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