IT Data Analyst Intern

Magnera Corporation

Evansville (IN)

On-site

USD 15,000 - 25,000

Full time

14 days+

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Job summary

Magnera Corporation is seeking an IT Data Analyst Intern to work closely with the Information Technology Department. This role offers hands-on experience in data analysis and vendor management, focusing on utilizing Excel and SAP systems for data organization and analysis.

Interns will gain valuable insights into procurement and financial processes while developing technical skills. The ideal candidates are rising Juniors or Seniors pursuing degrees in related fields.

Qualifications

  • Proficiency in Microsoft Excel, including functions such as VLOOKUP and managing large datasets.
  • Strong analytical and problem-solving skills with attention to detail.
  • Basic understanding of data analysis concepts and reporting.

Responsibilities

  • Assist with data analysis activities using Excel to support business needs.
  • Extract, organize, and analyze vendor-related data from SAP systems.
  • Collaborate with team members to ensure timely completion of data-related tasks.

Skills

Proficiency in Microsoft Excel
Analytical skills
Attention to detail
Data organization and management
Effective communication

Education

Pursuing a degree in Computer Science, Business, Finance, Data Analytics or related field

Tools

SAP

Job description

Overview

Magnera's purpose is to better the world with new possibilities made real. For more than 160 years, the originating companies have delivered the material solutions their partners need to thrive. Through economic upheaval, global pandemics and changing end-user needs, they have consistently found ways to solve problems and exceed expectations. By bringing together these legacy companies, the distinct scale and comprehensive portfolio of products will bring customers more materials and choices. With a combined legacy of resilience, Magnera will build personal partnerships that withstand an ever-changing world.

The IT Data Analyst Intern will work alongside the Information Technology Department to gain hands‑on experience supporting data analysis and vendor management activities. The intern will work extensively in Excel to organize, analyze, and maintain data across multiple sources while leveraging SAP systems to access vendor and financial information. Throughout the program, the intern will gain exposure to procurement and financial processes, developing both technical skills and a strong understanding of how data supports business operations.

Responsibilities
  • Assist with data analysis activities using Excel to support business needs
  • Perform data functions such as VLOOKUPs, data transposition, and consolidation across multiple files
  • Extract, organize, and analyze vendor‑related data from SAP systems
  • Maintain accuracy and integrity of data while managing large datasets
  • Support procurement and financial data processes through reporting and analysis
  • Collaborate with team members to ensure timely completion of data‑related tasks
  • Identify discrepancies in data and assist with data clean‑up and validation efforts
  • Gain exposure to SAP processes, particularly within procurement and financial modules
  • Demonstrate strong attention to detail and efficiency in completing assigned tasks
Qualifications
  • Proficiency in Microsoft Excel, including functions such as VLOOKUP, data transposition, and working with large datasets
  • Strong analytical and problem‑solving skills with attention to detail
  • Ability to manage and organize data accurately and efficiently across multiple sources
  • Basic understanding of data analysis concepts and reporting
  • Strong organizational and time management skills with the ability to meet deadlines
  • Effective written and verbal communication skills
  • Ability to work independently as well as collaboratively in a team environment
  • Interest in learning SAP, particularly within procurement and financial processes
  • Rising Juniors or Seniors pursuing a degree in Computer Science, Business, Finance, Data Analytics, or a related field
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