Finance Systems Analyst: Automate & Optimize Finance Ops

Uline Inc.; Pleasant Prairie, Northern (WI, KY); Hybrid; USD 65,000 - 95,000; Full time

Benefits offered by this job

Health insurance

401(k) with 6% match

Bonus programs

Paid holidays and generous PTO

Tuition Assistance

On-site café and fitness center

Walking trails

Job summary

Uline Inc. seeks a Business Systems Analyst at its Corporate Headquarters in Pleasant Prairie, WI to optimize Finance processes and reporting solutions. You will partner with Finance teams on key projects to enable informed business decisions for a growing company.

Qualified candidates have a CS/Data/Business/Finance degree and strong SQL, MS Office and analytical skills. On-site work and opportunities for automation and data-driven improvements are offered.

Qualifications

• Bachelor's degree in a related field is required.
• Proficiency in MS Office and SQL with programming experience.
• Experience with VBA, Python or similar languages preferred.
• Power BI experience is a plus.

Responsibilities

• Manage and improve technology processes for the department with automation.
• Investigate, analyze and resolve user issues to support Finance operations.
• Maintain and test department software for correct setup and reliable performance.
• Collaborate with Finance to deliver solutions that meet project needs.

Skills

Microsoft Office

SQL

VBA

Python

Power BI

Analytical skills

Communication skills

Education

Bachelor's degree in Computer Science, Data Science, Business Administration, Finance or related field

Tools

Power BI

VBA

SQL

Python

Job description

Uline Inc. seeks a Business Systems Analyst at its Corporate Headquarters in Pleasant Prairie, WI to optimize Finance processes and reporting solutions. You will partner with Finance teams on key projects to enable informed business decisions for a growing company.

Qualified candidates have a CS/Data/Business/Finance degree and strong SQL, MS Office and analytical skills. On-site work and opportunities for automation and data-driven improvements are offered.