Finance Systems Analyst — Automate & Optimize Ops

Uline

Pleasant Prairie (WI)

On-site

USD 85,000 - 110,000

Full time

2 days ago
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Benefits offered by this job

Health insurance
401(k) match
Bonus programs
Paid holidays
Paid time off
Tuition assistance
On-site cafe
Fitness center
Walking trails

Job summary

Uline, Corporate Headquarters in Pleasant Prairie, WI, is seeking a Business Systems Analyst to help identify opportunities to enhance processes and reporting solutions for Finance. You will partner with Uline’s Finance teams on key projects to support data-driven decisions and growth.

Responsibilities include automating workflows, analyzing and resolving user issues, and maintaining department software to ensure reliable performance.

Qualifications

  • Bachelor's degree in Computer Science, Data Science, Business Administration, Finance or related field.
  • Proficient in Microsoft Office and SQL, with experience using VBA, Python or other programming languages. Working knowledge of Power BI preferred.
  • Ability to identify process improvement opportunities and recommend workflow enhancements.
  • Experience in business-to-business (B2B) environment is an asset.
  • Excellent communication, analytical and organizational skills.

Responsibilities

  • Manage and improve technology processes for the department, building efficiencies through automation and smart use of data.
  • Investigate, analyze and resolve user issues to support Finance operations.
  • Maintain and test various department software systems to ensure correct setup and reliable performance.
  • Collaborate with Finance teams to deliver solutions that meet project requirements and business needs.

Skills

SQL
Python
VBA
Microsoft Office

Education

Bachelor's degree

Tools

Power BI
Excel

Job description

Uline, Corporate Headquarters in Pleasant Prairie, WI, is seeking a Business Systems Analyst to help identify opportunities to enhance processes and reporting solutions for Finance. You will partner with Uline’s Finance teams on key projects to support data-driven decisions and growth.

Responsibilities include automating workflows, analyzing and resolving user issues, and maintaining department software to ensure reliable performance.

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