Data Analyst: SQL, Python & Data Visualization

CBRE; Hartford (CT); 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 to perform data research-backed analyses for business intelligence. You will pull and curate data from multiple sources, develop dashboards, and present a data story to business lines.

The role integrates with the Data Science & Analytics function and emphasizes rigorous data quality and collaborative problem solving. Responsibilities include building complex queries, developing data assets, and applying modeling techniques to improve business performance.

Qualifications

• Bachelor’s degree in computer science, information systems, or related field.
• Deep experience with SQL, data visualization, ETL pipelines, and DBMS.
• Strong Python skills for data analysis and evaluation tasks.
• Ability to use existing procedures to solve standard problems.
• Organizational skills with an inquisitive mindset.

Responsibilities

• Develop and maintain complex SQL queries from multiple sources.
• Create and maintain data dashboards and pipelines.
• Apply data modeling and evaluation to extract insights.
• Collaborate with agile team to enhance processes.
• Ensure data quality and integrity across sources.

Skills

SQL

Data visualization

ETL pipelines

Database management

Python

Problem solving

Analytical thinking

Organizational skills

Education

Bachelor’s degree in computer science or information systems

Tools

SQL

Python

Job description

CBRE is seeking a Data Analyst to perform data research-backed analyses for business intelligence. You will pull and curate data from multiple sources, develop dashboards, and present a data story to business lines.

The role integrates with the Data Science & Analytics function and emphasizes rigorous data quality and collaborative problem solving. Responsibilities include building complex queries, developing data assets, and applying modeling techniques to improve business performance.