Sr Data Analyst - Onsite

Cbre Valuation

San Antonio, TX

JOB DETAILS
SKILLS
Agile Programming Methodologies, Analysis Skills, Artificial Intelligence (AI), Business Development, Business Intelligence, Business Support, Commercial Real Estate, Cookies, Data Analysis, Data Quality, Data Science, Data Structures, Decision Support, English Language, Interviewing Skills, LinkedIn, Microsoft Excel, Microsoft Office, Microsoft Outlook, Microsoft Product Family, Microsoft Word, Newsroom, Open Source Programming Languages, Organizational Skills, Performance Management, Problem Solving Skills, Procedure Development, Process Improvement, Quality Assurance Methodology, Real Estate, Statistical Modeling, Strategic Analysis, Structured Data, Tableau, Team Player, Twitter, Unstructured Data
LOCATION
San Antonio, TX
POSTED
30+ days ago

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Sr Data Analyst - Onsite

Sr Data Analyst - Onsite

Référence du poste

270571

Posté

20-avr-2026

Ligne de service

GWS Segment

Type de rôle

À plein temps

Centres d"intérêt

Data analyse

Localisation(s)

San Antonio - Texas - United States of America

About the Role:

This onsite role is based in San Antonio, TX and follows a Monday through Friday schedule. As a CBRE Senior Data Analyst, you will conduct a wide range of analytical work to support business decisions, ensuring that insights, recommendations, and conclusions are grounded in accurate data, rigorous research, and clear analytical reasoning.

The position sits within the Data Science & Analytics function, where the focus is on evaluating and interpreting data to improve business effectiveness and anticipate outcomes. In this role, you will contribute to the development of business intelligence by translating complex data into actionable insights that support strategic decision-making.

What You'll Do:

  • Aggregate, cleanse, validate, and standardize data from multiple sources to produce high‑quality reporting and insights.
  • Perform ad‑hoc and strategic analysis of structured and unstructured data related to global real estate markets and asset operations.
  • Design and maintain data structures, pipelines, and reporting solutions to meet complex business requirements.
  • Define data needs and apply judgment, statistical testing, and modeling techniques to extract actionable insights.
  • Leverage programming, open‑source tools, and optimization methods to maximize data usage and improve business performance.
  • Develop and deliver ad‑hoc and recurring reports, clearly presenting complex data stories to diverse organizational audiences.
  • Ensure data quality and integrity while collaborating with agile development teams to enhance processes, programs, and tools.
  • Operate within established procedures while exercising sound judgment, leading by example, and positively impacting team outcomes consistent with CBRE RISE values.

What You'll Need:

  • 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 slightly 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 Word, Excel, Outlook, etc.
  • Preferred experience in Tableau
  • Strong organizational skills with an inquisitive mindset.

Why CBRE?

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 chart your own course and realize your potential. We welcome all applicants.

Applicant AI Use Disclosure

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.

Disclaimers

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

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