Data Analyst: SQL, Python & Dashboards for Insights

CBRE; Salt Lake City (UT); 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 in Salt Lake City is seeking a Data Analyst to perform basic data analysis and support business decisions with thorough data research and findings.

You will use SQL and Python to pull data, build dashboards, and develop data models that improve outcomes. The role emphasizes data quality, reporting, and collaboration with an agile team.

Bachelor's degree with 1–4 years of experience required; strong SQL, Python, and data visualization skills are essential; a discretionary bonus may apply.

Qualifications

• Bachelor's degree with up to 1–4 years of relevant experience.
• Experience with SQL, data visualization tools, ETL pipelines, and database management systems.
• Strong programming skills in Python for data analysis and evaluation tasks.

Responsibilities

• Use SQL and scripting to develop and maintain queries pulling data from multiple sources.
• Develop and maintain dashboards and assets including scripts, tables, and workflows.
• Apply data structures and algorithms to solve standard problems.
• Define basic data requirements and gather information using judgment and tests.
• Use Python and open-source tools to plan models and extract insights.
• Develop ad-hoc reporting based on existing data sources.

Skills

SQL

Python

Data visualization

ETL pipelines

Database management

Education

Bachelor's degree in computer science or related field

Job description

CBRE in Salt Lake City is seeking a Data Analyst to perform basic data analysis and support business decisions with thorough data research and findings.

You will use SQL and Python to pull data, build dashboards, and develop data models that improve outcomes. The role emphasizes data quality, reporting, and collaboration with an agile team.

Bachelor's degree with 1–4 years of experience required; strong SQL, Python, and data visualization skills are essential; a discretionary bonus may apply.