Data Analyst: SQL, Python & BI Dashboards

CBRE; Boston (MA); On-site; USD 90,000 - 105,000; Full time

Benefits offered by this job

401K

Dental insurance

Health insurance

Life insurance

Vision insurance

Job summary

CBRE is seeking a Data Analyst in Boston to perform foundational data analysis that informs business conclusions and supports BI initiatives. You will work within the Data Science & Analytics function to pull data, build dashboards, and develop models, while ensuring data quality and actionable insights.

The role emphasizes developing automated data workflows, collaborating with an agile team, and presenting a clear data narrative to stakeholders.

Qualifications

• Bachelor’s degree in computer science, information systems, or related field.
• Up to 1–4 years of relevant experience.
• Experience with SQL, data visualization tools, ETL pipelines, and database management.
• Strong programming skills in Python for data analysis.

Responsibilities

• Develop and maintain complex SQL queries to pull data from multiple sources.
• Create and maintain data dashboards and assets.
• Apply basic data structures and algorithms to solve problems.
• Define data requirements and gather information using statistical tests.
• Use Python for modeling and extracting insights.
• Develop data models, automation systems, and reporting metrics.
• Produce ad-hoc reports from existing data sources.
• Present data stories to business units.

Skills

SQL

Data Visualization

ETL Pipelines

Database Management

Python

Education

Bachelors in CS / IS / related

Tools

Python

SQL

Tableau/Power BI

Job description

CBRE is seeking a Data Analyst in Boston to perform foundational data analysis that informs business conclusions and supports BI initiatives. You will work within the Data Science & Analytics function to pull data, build dashboards, and develop models, while ensuring data quality and actionable insights.

The role emphasizes developing automated data workflows, collaborating with an agile team, and presenting a clear data narrative to stakeholders.