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# Data Analyst

- **Company:** CBRE Group
- **Location:** Charleston, WV, United States
- **Salary:** $90,002.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Data Analysis, Microsoft Basic Data Partition, Information Systems, Computer Programming, Databases, Extract Transform Load (ETL), Data Structures, Data Visualization, Statistical Hypothesis Testing, Python (Programming Language), Open Source Technology, SQL Databases, Scripting, Information Technology
- **Published:** August 20, 2026
- **Apply:** https://www.juju.com/job/00000000gny72k

## About the Role

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

## Description

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:

 * 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.


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