Business Intelligence Analyst (Power BI)

Smart, Innovative, and Hard-working? Perfect! We are growing and need the right people with the right mindset. Join our family and find a home where you will enjoy working with your peers, be challenged to work hard, and have some fun in the midst of it all.

We are proud to have been named the National Apartment Association's 2025 Top Employer in the Supplier Category.

Benefits that drive themselves

• Salary - $67K-$72K Based on Experience!
• Full Time, Monday-Friday, 8:00am - 5:00pm.
• Paid Holidays Off and No Weekends!
• We offer medical, dental, vision, life insurance, disability, 401K, 104 hours paid time off accrual, complimentary gym access, meal prep services, and more!
• Work from home options after 90 days! We offer hybrid schedules that would consist of 3 days at home and 2 days in the office.
• Employee Discount Program!
• Long-Term Career Opportunities! Many of our leaders started with Chadwell Supply looking for a job, just like you, but found long-term career opportunities at one of our 29 Branches across the Country.
• Named Top 100 Companies in Tampa Bay 2019, 2020, 2021, 2022, 2023, 2024, and 2025!

Overview
Designs and delivers Power BI dashboards and analytics solutions, translating business needs into clear KPIs and reporting. Partners with technical and business teams to ensure data is accurate, secure, and easy to use for informed decision-making.

What you will need

• A minimum of a high school diploma or GED is required.
• Strong SQL, Power BI, DAX, and Python skills for data analysis and reporting
• Excellent organization, time management, and attention to detail
• Effective verbal and written communication skills
• Ability to handle confidential information with discretion
• Proficiency in Microsoft Office (Excel, Word, Outlook)

How you will make an Impact

• Build and maintain Power BI datasets, models, and dashboards with clear KPIs
• Gather requirements and translate business needs into reporting solutions
• Write and optimize SQL queries for data extraction, transformation, and validation
• Improve performance of reports and datasets (DAX, modeling, refresh strategies)
• Document KPIs, data sources, and reporting standards for consistency
• Collaborate with data engineering teams to resolve data issues and improve data access
• Support system/ERP changes by updating and validating reports and models
• Monitor data refreshes and troubleshoot failures or anomalies
• Ensure data governance, security, and proper access controls.