BI Analytics Engineer: Power BI & Python

Ninesmw; United States; On-site; USD 85,000 - 110,000; Full time

Benefits offered by this job

Health insurance

401k match

Bonus programs

Paid holidays

Tuition assistance

On-site café

Fitness center

Job summary

Uline is seeking a BI Analytics Engineer at our Corporate Headquarters in Pleasant Prairie, WI. You will design dashboards and analytics enhancements that turn data into actionable insights for cross-functional teams.

You’ll work with our Senior BI group to build scalable data models using Power BI, Power Apps and Python, delivering reliable reporting and decision support. This on-site role emphasizes collaboration and rigorous data modeling to support our enterprise systems.

Qualifications

• Bachelor's Degree in Information Technology, Computer Science or related field.
• 3+ years of experience developing solutions with Microsoft’s BI Stack such as Power Apps, Power Automate and Power BI.
• Strong understanding of Python, SQL, relational databases and data modeling.
• Excellent communication, collaboration and problem-solving skills.

Responsibilities

• Work with Senior Business Intelligence and Analytics team members to design datasets and deliver insights that support our growing business.
• Partner with business leaders to develop scalable solutions and dashboards using Microsoft’s BI Stack and Python.
• Translate business needs into scalable data models and reporting layers that support consistent, reliable analysis.
• Document analytics requirements, data models and processes to ensure consistent and accurate reporting.

Skills

BI stack design

Data modeling

Python

SQL

Communication

Education

Bachelor's Degree in IT/CS

Tools

Power BI

Power Apps

Power Automate

Job description

Uline is seeking a BI Analytics Engineer at our Corporate Headquarters in Pleasant Prairie, WI. You will design dashboards and analytics enhancements that turn data into actionable insights for cross-functional teams.

You’ll work with our Senior BI group to build scalable data models using Power BI, Power Apps and Python, delivering reliable reporting and decision support. This on-site role emphasizes collaboration and rigorous data modeling to support our enterprise systems.