Data Analyst

Job Information:

People Soft Job Code/

Title:

Data Analyst (DE0007)

Global Level: GL-12

Job Family/Function:
Digital & Technology / Data Science & Analytics

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.

• Use SQL and other scripting languages to develop and maintain complex queries that pull and curate data from multiple sources
• Develop and maintain data dashboards and associated assets including scripts, tables, workflows, and supporting processes in accordance with team standards
• Apply fundamental data structures and algorithms to solve complex problems
• Define basic data requirements and gather information using judgment and statistical tests.
• Use programming and evaluation tools (e.g. Python), including open-source programs to plan models and extract insights.
• Apply modeling and optimization methods to improve business performance.
• Develop and maintain data models, data automation systems, low-code solutions, and reporting systems and performance metrics support.
• 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 your own work.
• Work within standardized procedures and practices to achieve objectives and meet deadlines.
• Exchange straightforward information, ask questions, and check for understanding.

• Bachelor’s degree in computer science, Information Systems, or a related field with up to 1-4 years of relevant experience
• In-depth experience with SQL, data visualization tools, ETL pipelines, and database management systems
• Strong programming skills, with experience in Python, utilizing it for data analysis and evaluation tasks.
• Ability to use existing procedures to solve standard problems.
• Experience with analyzing information and standard practices to make judgments.
• Organizational skills with a strong inquisitive mindset.

When you join CBRE, you become part of the global leader in commercial real estate services and investment that helps businesses and people thrive. We are dynamic problem solvers and forward-thinking professionals who create significant impact. Our collaborative culture is built on our shared values — respect, integrity, service and excellence — and we value the diverse perspectives, backgrounds and skillsets of our people.

At CBRE, you have the opportunity to realize your full potential.

At CBRE, we are committed to fostering a culture where everyone feels they belong. We value diverse perspectives and experiences, and we welcome all applications.

Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.

We value human interaction to understand each candidate's unique experience, skills and aspirations. We do not use artificial intelligence (AI) tools to make hiring decisions, and we ask that candidates disclose any use of AI in the application and interview process.

CBRE Group, Inc. (NYSE:CBRE), a Fortune 500 and S&P 500 company headquartered in Dallas, is the world's largest commercial real estate services and investment firm (based on 2024 revenue). The company has more than 140,000 employees (including Turner & Townsend employees) serving clients in more than 100 countries. CBRE serves clients through four business segments:
Advisory (leasing, sales, debt origination, mortgage serving,…