Financial Data Analytics Intern — Mentored & Paid, Growth‑Ready

Uline

Pleasant Prairie (WI)

On-site

USD 21,000 - 30,000

Full time

14 days+

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Benefits offered by this job

Mentor assigned to you
Housing provided for out-of-townintern
Competitive pay over summer
Potential to join Uline full-time

Job summary

Uline, a Handshake 2026 Early Talent Award-winning company, invites you to join as a 2027 Financial Data Analyst Intern at its Pleasant Prairie, WI campus. This paid 12-week internship lets you build dashboards, streamline reporting, and partner with finance teams.

You will leverage Excel, SQL and VBA to analyze datasets, identify trends, and contribute to process improvements while learning from seasoned professionals in Accounting, Credit, Tax and Operations.

Qualifications

  • This full-time, 12-week internship is open to Junior-status college students only.
  • Pursuing a bachelor’s degree in finance, IT or analytics.
  • Strong Microsoft Excel skills. SQL or programming experience preferred.
  • Strong analytical, leadership and communication skills.

Responsibilities

  • Gain hands-on experience creating financial dashboards and tools that help teams make informed decisions.
  • Use SQL, VBA and other analytical tools to streamline financial processes and enhance reporting efficiency.
  • Analyze large data sets to identify trends and uncover opportunities that improve business performance.
  • Partner with Finance teams across areas such as Accounting, Credit, Tax and Operations on projects that expand your business knowledge and analytical skills.

Skills

Analytical
Leadership
Communication
Excel
SQL

Education

Bachelor’s degree in finance/IT/analytics

Tools

VBA
SQL
Excel

Job description

Uline, a Handshake 2026 Early Talent Award-winning company, invites you to join as a 2027 Financial Data Analyst Intern at its Pleasant Prairie, WI campus. This paid 12-week internship lets you build dashboards, streamline reporting, and partner with finance teams.

You will leverage Excel, SQL and VBA to analyze datasets, identify trends, and contribute to process improvements while learning from seasoned professionals in Accounting, Credit, Tax and Operations.

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