Sr. Data Analyst

Sr. Data Analyst

As a CBRE Data Sr. Analyst, you will perform a variety of analyses to ensure that recommendations and business conclusions are backed by sound data findings and thorough data research. 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.

Coordinate data aggregation and curate complex reports using various 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.

Develop data structures and pipelines to organize, collect, cleanse, and standardize information to generate insights and address reporting needs.

Define complex 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.

Identify opportunities to maximize data usage. Apply modeling and optimization methods to develop new strategies and improve business performance.

Develop ad-hoc reporting based on the review of existing data sources.

Exhibit rigor, judgment, and ability to present a highly detailed 'data story' to many levels of the organization.

Confirm the quality and integrity of new and existing data sources.

Collaborate with operational teams to provide recommendations and communications on enhancing existing or new processes and programs.

Apply general knowledge of standard principles and techniques/procedures to accomplish assigned tasks and solve routine problems.

Have a broad knowledge of one's own job discipline and some knowledge of several job disciplines within the function.

Impact the quality of own work and the work of others on the team; work within guidelines and policies.

Lead by example and model behaviors that are consistent with CBRE RISE values. Will need ability to influence to reach an agreement.

Work primarily within standardized procedures and practices to achieve objectives and meet deadlines. Explain complex information to others in straightforward situations.

Ability to document processes.

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

Understanding of existing procedures and standards to solve complex problems.

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

In-depth knowledge of Microsoft Office products. Examples include PowerBi, Power Automate, Excel, Outlook, etc.

Strong organizational skills with an inquisitive mindset.

Experience with data analysis, data modeling, and data visualization tools, specifically Alteryx, PowerBi and Tableau.

Proficiency in programming languages specifically: SQL and Python.

Some data engineering skills preferred including PySpark for Microsoft Fabric and Databricks.

Ability to work collaboratively in a team environment and communicate effectively with stakeholders.

Strong problem-solving skills and attention to detail; leveraging AI tools such as Claude, ChatGPT, and Co-Pilot.

Ability to manage multiple projects and meet deadlines in a fast-paced environment.

Knowledge of CMMS systems is preferred.

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.

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 at View email address on click.appcast.io or via telephone at View phone number on click.appcast.io (U.S.) and View phone number on click.appcast.io (Canada).