Data Analytics Specialist — SQL, Python & Dashboards

CBRE; Topeka (KS); On-site; USD 90,000 - 105,000; Full time

Job summary

CBRE is seeking a Data Analyst in the United States to perform basic analyses that ensure recommendations are supported by data research. The role sits within the Data Science & Analytics function and focuses on improving business intelligence through data-backed insights.

You will develop complex queries, dashboards, and data models, using SQL and Python to extract insights and support outcomes. This role emphasizes data integrity and collaboration with an agile team.

Qualifications

• Bachelor’s degree in computer science, information systems, or related field (1–4 years experience).
• Deep experience with SQL, data visualization tools, ETL pipelines, and database management systems.
• Strong Python programming skills for data analysis and evaluation tasks.

Responsibilities

• Develop and maintain complex queries to pull data from multiple sources.
• Develop and maintain data dashboards and assets including scripts, tables, workflows, and reporting processes.
• Apply fundamental data structures and algorithms to solve problems.
• Define basic data requirements and gather information using judgment and statistical tests.
• Collaborate with the agile development team to provide recommendations and communications on enhancing processes and programs.
• Exhibit rigor, judgment, and ability to present a detailed 'data story' to a business line.

Skills

SQL

Data visualization

ETL pipelines

Database management

Python

Data analysis

Evaluation

Education

Bachelor’s degree (CS/IS/related)

Job description

CBRE is seeking a Data Analyst in the United States to perform basic analyses that ensure recommendations are supported by data research. The role sits within the Data Science & Analytics function and focuses on improving business intelligence through data-backed insights.

You will develop complex queries, dashboards, and data models, using SQL and Python to extract insights and support outcomes. This role emphasizes data integrity and collaboration with an agile team.