ERP Data Analyst

To Be the Advantage That Helps Our Customers Win. 

Creating packaging solutions for life’s essentials. 

You’ll work at the intersection of business processes, ERP systems, and enterprise data, helping ensure data is accurate, governed, and ready to power reporting, analytics, and AI across a global organization.

This role also requires flexibility to work in hours that partially or fully overlap with the US Eastern Time Zone to support global collaboration and business continuity.

• →Own ERP data deliverables end-to-end across projects and business domains
• →Drive data quality, governance, and issue resolution across cross-functional teams
• →Support M&A integrations by mapping legacy data into target ERP structures
• →Enable legacy system data integration into the Enterprise Data Warehouse (EDW)
• →Partner with business and IT teams to improve data ownership, standards, and controls
• →Support analytics and AI initiatives by ensuring data is structured, reliable, and fit for purpose
• →Work independently in a fast-paced, global environment with stakeholders across time zones

https://www.greif.com/wp-content/uploads/2023/04/HR-101-Equal-Employment-Opportunity-Policy-English.pdf

We offer a competitive salary, excellent benefits and opportunity for growth. Greif is an equal opportunity employer. We will not discriminate against any applicant or employee on the basis of sex, race, religion, age, national origin, color, disability, veteran status or any other any other legally protected characteristic.

For more information read Greif’s Equal Opportunity Policy.

• Bachelor’s degree in related field
• Experience in Infor ERP LN preferred; SAP, Oracle, or similar ERPs also considered
• Strong experience supporting Finance, Manufacturing, Sales, and Supply Chain functions through data management
• Good understanding of ERP data structures and business workflows
• Experience in data, reporting, or analytics initiatives
• Experience working with global stakeholders or in an offshore delivery model is a strong advantage

• Strong ownership and accountability
• Ability to work through ambiguity and drive results
• Focus on root cause and long-term solutions
• Consistent delivery with quality and timeliness
• Confidence working with business stakeholders to improve data ownership
• Strong collaboration skills across global teams and time zones

This is a great opportunity for someone who wants to grow in a global data and ERP environment, gain exposure to M&A, enterprise analytics, and AI initiatives, and play a key role in shaping data foundations for a large organization.