Data Analyst - SQL, Python & BI Dashboards

CBRE; Baton Rouge (LA); On-site; USD 90,000 - 105,000; Full time

Benefits offered by this job

401(K)

Dental insurance

Health insurance

Life insurance

Vision insurance

Job summary

CBRE is seeking a Data Analyst in Baton Rouge to perform basic analysis and build dashboards that support business decisions. You will research data sources, ensure quality, and present clear data stories to stakeholders within the Data Science & Analytics function.

The role emphasizes SQL, Python, ETL, and data visualization skills, with opportunities to influence processes and outcomes in a collaborative, agile environment.

Qualifications

• Bachelor’s degree required or equivalent experience.
• In-depth experience with SQL and data visualization tools.
• Experience with ETL pipelines and database management systems.
• Strong programming skills in Python for data analysis.

Responsibilities

• Use SQL and scripting to pull and curate data from multiple sources.
• Develop and maintain data dashboards and assets.
• Apply data structures and algorithms to solve problems.
• Define data requirements and perform statistical analysis.
• Use Python and open-source tools to plan models and extract insights.
• Develop data models, automation, and reporting systems.
• Create ad-hoc reporting based on data sources.
• Present data stories to business lines with clarity.
• Ensure data quality and integrity of sources.
• Collaborate with agile team to improve processes.

Skills

SQL

Python

Data Visualization

ETL Pipelines

Database Management

Analytical Skills

Organizational Skills

Education

Bachelor’s degree in computer science or related field

Job description

CBRE is seeking a Data Analyst in Baton Rouge to perform basic analysis and build dashboards that support business decisions. You will research data sources, ensure quality, and present clear data stories to stakeholders within the Data Science & Analytics function.

The role emphasizes SQL, Python, ETL, and data visualization skills, with opportunities to influence processes and outcomes in a collaborative, agile environment.