SAP Data Specialist I

Noveon Magnetics•San Marcos, TX

About The Position

The SAP Data Specialist I is responsible for protecting the accuracy and integrity of master and transactional data in SAP S/4HANA Public Cloud. The role evaluates data as it moves through the system, checks details such as batch or lot numbers, quantities, dates, and reference documents, and partners with the Business Systems team to identify and correct issues before they affect operations, reporting, or compliance. The specialist typically owns day-to-day SAP data work for one assigned functional area, such as Sales & Distribution, Procurement, or Production, and contributes to data governance standards across the system. The position supports master-data maintenance and auditing, transactional-data validation and reconciliation, exception monitoring, period-close checks, user support and training, and data governance practices. It also assists the Business Systems team with data pulls, cleanup projects, and system enhancement testing. Noveon Magnetics is a manufacturer of sintered neodymium-iron-boron magnets headquartered in San Marcos, Texas. The company conducts its manufacturing process in Texas and produces EcoFlux™ magnets for electric motors used in robotics, vehicles, aerospace systems, industrial equipment, and energy infrastructure. The work is in a fast-paced manufacturing environment.

Requirements

6–12+ months of hands-on SAP S/4HANA experience in a data-entry or similar operational role, with a demonstrated record of accuracy and identifying errors.
Working knowledge of data governance practices and data-quality metrics, applied in day-to-day work.
Ability to evaluate master and transactional data, confirm that batch numbers, quantities, and reference documents are correct, and distinguish when to escalate a recurring pattern from when to correct a one-time error.
High proficiency in Excel and comfort navigating SAP across more than one module or transaction type.
Clear communication with business users and the Business Systems team, and ability to train others on data-entry standards.
Basic knowledge of accounting and transactional flows through order-to-cash and/or procure-to-pay processes.
Detail-oriented and organized, with ownership of data quality.
Must pass drug screening and a medical physical, as well as visual testing if applicable.
Must be able to sit for prolonged periods at a desk and work on a computer.
Must be able to lift or move up to 15 pounds at times.
Must complete a pre-employment background check and drug screening.
Must meet applicable employment and regulatory requirements; certain positions may require eligibility to access export-controlled information subject to ITAR and/or EAR.

Responsibilities

Enter and maintain customer, material, vendor, and pricing master data across supported SAP modules, ensuring accuracy and completeness.
Audit existing master data regularly to identify duplicate, outdated, or inconsistent records and drive correction at the source.
Partner with the Dev/Support team to flag systemic master-data issues requiring a process or configuration fix.
Evaluate transactional data as it moves through SAP, confirming details such as batch or lot numbers, quantities, and dates on production confirmations, sales orders, and purchase documents.
Reconcile transactional records against source documents to identify entry errors, missing references, or broken links between related documents.
Monitor data-quality metrics and exception reports, and escalate recurring patterns that may indicate a training gap or system issue.
Support month-end and period-close data checks to confirm transactions are complete and audit-ready.
Serve as the primary SAP data point of contact for an assigned functional area, including order or document entry and related master data.
Train and support business users in the assigned functional area on day-to-day system use, data-entry requests, and navigation.
Help maintain data-entry standards, naming conventions, and validation checklists used across the Data Governance Team.
Train and mentor team members on data-entry best practices and common error patterns.
Support the Business Systems team with ad hoc data pulls, cleanup projects, and system enhancement testing.