Source-to-Pay (S2P) Business Analyst
Accelon Consulting
- Location
- Bengaluru, Karnataka, India
- Job type
- Full-time
Required skills
- Power BI
- accounting
- compliance
- Coupa
- end-to-end
- SAP
- UAT
About the role
Website:
accelonconsulting.com
Job details:
Job Description
- Support end-to-end Source to Pay (S2P) transformation including sourcing, purchasing, invoicing, and payments ensuring accuracy and completeness.
- Drive implementation and process improvements through stakeholder partnership for future-state process definition, requirements gathering, design, testing, deployment, and automation identification.
- Analyze spend, invoice, and payment data to identify trends, risks, and opportunities for better visibility and decision-making.
- Collaborate with Procurement, Accounts Payable, FP&A, Treasury, and technology teams to align processes.
- Support data governance, compliance, audit readiness, user training, change adoption, QA, and UAT.
- Work with business users, engineers, system integrators, and vendors to resolve issues and support project milestones.
- Focus on requirements gathering, design discussions, UAT, process transformation, and system enhancements.
- Strong expertise in SAP S/4HANA mandatory.
- Hands-on experience with at least one procurement platform: Coupa (preferred), Ariba, Zip, or Level Path (good to have).
- Strong understanding of S2P lifecycle including procurement, accounts payable, payments, and vendor management.
Requirements
Must-Have:
- Bachelor’s degree in Finance, Accounting, Supply Chain, or related field.
- 7–10 years of relevant experience in Business/System Analysis within S2P, P2P, Accounts Payable, Procurement, or Finance Operations.
- SAP S/4HANA expertise.
- Strong analytical, communication, and problem-solving skills.
- Experience in procurement transformation and implementation.
Nice-to-Have:
- Experience with Coupa, Ariba, Zip, or Levelpath.
- Familiarity with Power BI, Excel, Alteryx, and AI-enabled tools.
- Consulting background.
- Experience with RPA and AI/ML automation initiatives.
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