Senior Data Analytics Lead — Power BI & SQL

Brookfield Properties; Cleveland (OH); Hybrid; USD 88,000 - 123,000; Full time

Benefits offered by this job

Full benefits package

Generous paid time off

401(k) with company match

Growth and advancement opportunities

Lucrative referral bonus program

Job summary

Brookfield Properties in Cleveland, OH is seeking a Senior Data Analyst to support the U.S. Housing analytics, focusing on Multi-Family. The role involves building SQL queries, data models, and Power BI dashboards to enable data-driven decisions.

You will collaborate with Product, Technology, and Engineering, ensure data quality, and explore AI-assisted approaches to speed insights. A Bachelor's in a data-related field and 3–4 years of experience are preferred.

Qualifications

• 3–4 years of experience in analytical roles.
• Strong experience building dashboards in Power BI with data modeling and DAX.
• Strong SQL skills; experience with cloud data platforms (Redshift) is a plus.
• Familiarity with Git, Agile practices, and collaborative software development.

Responsibilities

• Write, test, and optimize SQL queries to extract and analyze data from source systems.
• Build, maintain, and enhance Power BI dashboards with KPIs and clear documentation of data sources.
• Partner with business stakeholders to translate questions into analytical solutions and provide actionable insights.
• Collaborate with Product, Technology, and Engineering to deliver scalable data and reporting solutions; explore AI-assisted insights.

Skills

SQL

Power BI

Python

Data modeling

DAX

Education

Bachelor's degree in data science, statistics, economics, finance, computer science, engineering, or related field

Tools

Amazon Redshift

Excel

Git

Job description

Brookfield Properties in Cleveland, OH is seeking a Senior Data Analyst to support the U.S. Housing analytics, focusing on Multi-Family. The role involves building SQL queries, data models, and Power BI dashboards to enable data-driven decisions.

You will collaborate with Product, Technology, and Engineering, ensure data quality, and explore AI-assisted approaches to speed insights. A Bachelor's in a data-related field and 3–4 years of experience are preferred.