Business Analyst (Ariba)
Company: Jobgether
Location: Location not specified (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-09-07
About this role
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Business Analyst (Ariba) based in the United States.
As a Business Analyst specializing in SAP Ariba, you’ll support a large-scale contract data cleanup and remediation initiative for a financial services client.
You’ll work hands-on with Ariba contract workspaces, ensuring that critical contract information is accurate, complete, consistent, and properly structured.
The role combines detailed data analysis, contract operations, quality control, and system support.
You’ll identify duplicates, validate metadata, resolve data issues, and implement corrections according to established standards.
You’ll collaborate closely with Legal and Ariba teams to investigate exceptions and ensure reliable contract information.
Your attention to detail will directly contribute to the integrity and usability of a client’s contract management environment.
This is a fully remote opportunity suited to an analytical professional with strong SAP Ariba and contract data experience.
Accountabilities
- Review SAP Ariba contract workspaces and associated contract data to identify inaccuracies, inconsistencies, and missing information.
- Validate contract metadata, including dates, statuses, naming conventions, identifiers, and supporting documentation.
- Review parent-child contract relationships and identify duplicate or incorrectly linked records.
- Recommend and implement data corrections in accordance with approved project guidelines and data standards.
- Support bulk data updates and uploads within SAP Ariba.
- Maintain detailed issue and exception logs, documenting findings, actions taken, and unresolved scenarios.
- Escalate ambiguous or complex data issues to the appropriate Legal, Ariba, or project stakeholders.
- Perform quality-control reviews to ensure corrections are accurate and data standards are ...