
BI Analytics Engineer
PLEASANT PRAIRIE, WIJobSeen 5 days agoSeen in employer's feed 5 days ago
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At a glance
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Job overview
The BI Analytics Engineer at Uline turns data into insights that support business decisions. The role partners with teams and business leaders to design datasets, dashboards, data models and reporting layers using Microsoft’s BI Stack and Python. It supports consistent, reliable analysis across Uline’s custom enterprise systems. The position is based at Uline’s corporate headquarters in Pleasant Prairie, Wisconsin, and is on-site.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
JOB REQUIREMENTS: BI Analytics Engineer Corporate Headquarters 12575 Uline Drive, Pleasant Prairie, WI 53158 Build what's next. Power what's now. As a BI Analytics Engineer at Uline, you'll turn data into insights that drive decisions across the business. Partner with teams across the company to design dashboards, shape reporting and build scalable analytics solutions that support our custom enterprise systems. Why IT at Uline? Uline's 450+ person in-house tech team builds and supports the custom systems that run our business. The team owns and creates solutions that operate at scale, supporting operations from warehouse management to e-commerce. Careers Packed with Potential. Backed by 45+ years of success, Uline offers opportunities to grow your career with stability you can count on. Position 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. Minimum Requirements 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. Uline does not participate in the H1-B lottery. Benefits Complete health insurance coverage and 401(k) with 6% employer match that starts day one! Multiple bonus programs. Paid holidays and generous paid time off. Tuition Assistance Program that covers professional continuing education. Employee Perks On-site cafe and first-class fitness center with complimentary personal trainers. Over four miles of beautifully maintained walking trails. About Uline Uline, a family-owned company, is North America's leading distributor of shipping, industrial, and packaging materials with over 10,000 employees across 15 locations. Uline is a drug-free workplace. All new hires must complete a pre-employment hair follicle drug screening. All positions are on-site. #LI-EP1 #CORP (#IN-PPITL4) #ZR-HQIT Our employees make the difference and we are committed to offering exceptional benefits and perks!Explore Uline.jobs to learn more! EEO/AA Employer/Vet/Disabled ***** APPLICATION INSTRUCTIONS: Apply Online: ipc.us/t/D70BEEF0C39D4FA5
How this job compares
Set against the 694 open Analytics Engineer jobs on Olive Jobs, counted October 27, 2026.
- Pay
- This postingNot listed
- US median$116–210K/yr586 salary ranges
- US median$54–75/hr20 hourly ranges
- Openings
- Olive Jobs lists 12 open Analytics Engineer jobs in Wisconsin and 694 across the US. 7% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 3 years of experience; Analytics Engineer postings that state a minimum ask for 5 years at the median (590 postings).
- Education
- This posting asks for a bachelor's degree; 333 of the 694 open Analytics Engineer jobs (48%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 27, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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