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Senior Business Intelligence Analyst at CBRE

Senior Business Intelligence Analyst

@

CBRE

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Posted on: 
April 4, 2026
Status: 
Expired
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Summary of the Senior Business Intelligence Analyst job at CBRE

CBRE is hiring a Senior Business Intelligence Analyst with 3 - 5 years of experience. Based in United States - Remote and with Remote ways of working. The expected salary range for this role is $109,000 - $109,000
About CBRE

Operating across every dimension of commercial real estate, CBRE sees more so you can do more.

Senior Business Intelligence Analyst job description

About the Role:

We are seeking a highly motivated and detail-oriented Sr. Business Analyst/Operations Specialist to join our team. This pivotal role is responsible for driving strategic decision-making through robust data analysis, reporting, and process optimization, while also ensuring the integrity, quality, and security of our data assets. Furthermore, this role will play a key part in the adoption and successful rollout of AI-driven digital productivity tools, fostering innovation and efficiency across the organization. The successful candidate will act as a subject matter expert, lead data governance initiatives, collaborate across departments, and contribute to the successful implementation of projects, all while upholding our core values.

This is a fully remote role.

What You’ll Do:

Generate and review reports utilizing aggregated data from diverse sources to support comprehensive evaluations, improvements, and recommendations, with a strong focus on ensuring data quality and integrity.

Verify the accuracy of provided information and address escalated requests from both management and vendors, reinforcing data quality standards.

Utilize and interpret advanced scenario planning tools and models, alongside investigating emerging trends in general business conditions, including advancements in AI-driven digital productivity solutions.

Proactively identify significant opportunities for enhancement for both clients and the company, leveraging data insights and potential applications of AI tools.

Collaborate effectively with personnel from other departments and information technology groups to ensure successful project implementations and to define and implement data standards and policies.

Support the evaluation, selection, and successful rollout of AI-driven digital productivity tools, ensuring seamless integration and user adoption.

Develop and deliver training programs and materials for new AI-driven tools, guiding users through new workflows and promoting effective utilization.

Oversee the maintenance and reporting of established benchmarks and performance metrics.

Serve as a subject matter expert for key systems, processes, day-to-day operational functions, and the application of AI-driven productivity solutions.

Develop, maintain, and enforce data governance policies and procedures in support of the Business Intelligence Manager to ensure consistent data definitions, quality, and usage across the organization.

Collaborate closely with data owners and other stakeholders to establish clear data definitions, standards, and data quality rules.

Monitor data usage and ensure compliance with established data governance policies, regulatory requirements, and internal controls.

Actively participate in data governance committees or working groups, contributing expertise and driving initiatives related to data stewardship, quality, and policy.

Apply established principles, techniques, and procedures to accomplish assigned tasks and resolve routine problems.

Demonstrate a broad understanding of their own job discipline and possess some knowledge of related job disciplines within the function.

Primarily operate within standardized procedures and practices to achieve objectives and meet deadlines.

Communicate complex information clearly and concisely in straightforward situations, including explanations of AI tool functionalities and benefits.

Lead by example, modeling behaviors consistent with CBRE RISE values, and effectively influence others to reach agreements.

Positively impact the quality of both their own work and that of their team members.

Senior Business Intelligence Analyst job requirements

What You’ll Need:

Bachelor's Degree preferred with 2-5 years of relevant experience. In lieu of a degree, a combination of experience and education will be considered.

Understanding of existing procedures and standards to solve slightly complex problems.

Ability to analyze possible solutions using technical experience to apply appropriate judgment and precedents.

Ability to work independently and collaboratively within a team environment.

Strong problem-solving aptitude, especially in addressing data-related challenges and technology adoption hurdles.

Familiarity with scenario planning and business trend analysis is a plus.

Experience with project implementation and cross-functional collaboration.

In-depth knowledge of Microsoft Office products. Examples include Word, Excel, Outlook, etc
.
Strong organizational skills with an inquisitive mindset.

What we offer at CBRE

CBRE carefully considers multiple factors to determine compensation, including a candidate’s education, training and experience. The compensation is about $109,000 annual base salary plus 10% target bonus based on experience. The compensation offered to a successful candidate will depend on the candidate’s skills, qualifications and experience.

Apply now

Please mention: “I found this job at DataAnalyst.com” in your application, it will help us offer you more opportunities.

Apply now

Please mention “I found this job at DataAnalyst.com!” in your application, it will help us offer you more opportunities

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What about the salary?

Average data analyst salary in the Real Estate industry is $104,171.
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CBRE

CBRE

is hiring

Senior Business Intelligence Analyst

Website:
Posted on: 
April 4, 2026

About Our Company

Operating across every dimension of commercial real estate, CBRE sees more so you can do more.

Job Description & Responsibilities

About the Role:

We are seeking a highly motivated and detail-oriented Sr. Business Analyst/Operations Specialist to join our team. This pivotal role is responsible for driving strategic decision-making through robust data analysis, reporting, and process optimization, while also ensuring the integrity, quality, and security of our data assets. Furthermore, this role will play a key part in the adoption and successful rollout of AI-driven digital productivity tools, fostering innovation and efficiency across the organization. The successful candidate will act as a subject matter expert, lead data governance initiatives, collaborate across departments, and contribute to the successful implementation of projects, all while upholding our core values.

This is a fully remote role.

What You’ll Do:

Generate and review reports utilizing aggregated data from diverse sources to support comprehensive evaluations, improvements, and recommendations, with a strong focus on ensuring data quality and integrity.

Verify the accuracy of provided information and address escalated requests from both management and vendors, reinforcing data quality standards.

Utilize and interpret advanced scenario planning tools and models, alongside investigating emerging trends in general business conditions, including advancements in AI-driven digital productivity solutions.

Proactively identify significant opportunities for enhancement for both clients and the company, leveraging data insights and potential applications of AI tools.

Collaborate effectively with personnel from other departments and information technology groups to ensure successful project implementations and to define and implement data standards and policies.

Support the evaluation, selection, and successful rollout of AI-driven digital productivity tools, ensuring seamless integration and user adoption.

Develop and deliver training programs and materials for new AI-driven tools, guiding users through new workflows and promoting effective utilization.

Oversee the maintenance and reporting of established benchmarks and performance metrics.

Serve as a subject matter expert for key systems, processes, day-to-day operational functions, and the application of AI-driven productivity solutions.

Develop, maintain, and enforce data governance policies and procedures in support of the Business Intelligence Manager to ensure consistent data definitions, quality, and usage across the organization.

Collaborate closely with data owners and other stakeholders to establish clear data definitions, standards, and data quality rules.

Monitor data usage and ensure compliance with established data governance policies, regulatory requirements, and internal controls.

Actively participate in data governance committees or working groups, contributing expertise and driving initiatives related to data stewardship, quality, and policy.

Apply established principles, techniques, and procedures to accomplish assigned tasks and resolve routine problems.

Demonstrate a broad understanding of their own job discipline and possess some knowledge of related job disciplines within the function.

Primarily operate within standardized procedures and practices to achieve objectives and meet deadlines.

Communicate complex information clearly and concisely in straightforward situations, including explanations of AI tool functionalities and benefits.

Lead by example, modeling behaviors consistent with CBRE RISE values, and effectively influence others to reach agreements.

Positively impact the quality of both their own work and that of their team members.

Requirements

What You’ll Need:

Bachelor's Degree preferred with 2-5 years of relevant experience. In lieu of a degree, a combination of experience and education will be considered.

Understanding of existing procedures and standards to solve slightly complex problems.

Ability to analyze possible solutions using technical experience to apply appropriate judgment and precedents.

Ability to work independently and collaboratively within a team environment.

Strong problem-solving aptitude, especially in addressing data-related challenges and technology adoption hurdles.

Familiarity with scenario planning and business trend analysis is a plus.

Experience with project implementation and cross-functional collaboration.

In-depth knowledge of Microsoft Office products. Examples include Word, Excel, Outlook, etc
.
Strong organizational skills with an inquisitive mindset.

What we offer

CBRE carefully considers multiple factors to determine compensation, including a candidate’s education, training and experience. The compensation is about $109,000 annual base salary plus 10% target bonus based on experience. The compensation offered to a successful candidate will depend on the candidate’s skills, qualifications and experience.

Apply now
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