Finance IT Intern: ERP & Data Analytics

Ricoh Americas Corporation; Exton (PA); On-site; USD 21,000 - 29,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Retirement Savings Plan (401K)

Tuition assistance

Paid vacation & holidays

Job summary

Ricoh Americas Corporation in Exton, PA is seeking a Finance IT Intern to support ERP, reporting, and financial systems while gaining hands-on experience in data cleansing and automation. This internship offers exposure to finance and IT collaboration and AI-enabled analytics initiatives.

The role emphasizes data validation, system testing, and documentation, with opportunities to contribute to automation projects and analytics efforts in a professional setting.

Qualifications

• Currently enrolled in an accredited college or university or recently graduated within one calendar year.
• Pursuing a degree in a related field (Information Systems, Computer Science, Engineering, Finance, Supply Chain, Data Science, or similar).
• Cumulative GPA of 3.0 or higher.
• Ability to successfully complete all required screenings prior to hire.

Responsibilities

• Support Finance IT applications such as ERP, reporting, and financial systems.
• Assist on data-cleansing tasks, analyzing legacy-system data and converting it into ERP-ready formats.
• Assist with system testing, data validation, and documentation.
• Collaborate with finance and IT teams on automation and analytics initiatives.
• Support AI-enabled financial analysis and reporting initiatives.

Skills

Excel

Word

PowerPoint

Analytical skills

Organizational skills

Problem-solving

Verbal communication

Written communication

Multitasking

AI concepts exposure

Education

Related field degree (IS/CS/Engineering/Finance)

Job description

Ricoh Americas Corporation in Exton, PA is seeking a Finance IT Intern to support ERP, reporting, and financial systems while gaining hands-on experience in data cleansing and automation. This internship offers exposure to finance and IT collaboration and AI-enabled analytics initiatives.

The role emphasizes data validation, system testing, and documentation, with opportunities to contribute to automation projects and analytics efforts in a professional setting.