Job Details

Role: SAP CO-PA Consultant [Cost Allocation]

Location - REMOTE

Duration - Long Term

Job Summary: We are seeking a highly skilled SAP CO-PA Consultant with a strong focus on Cost Allocation and configuration to join our dynamic team.

Job Requirement: The ideal candidate will have deep expertise in SAP Controlling - Profitability Analysis (CO-PA), including end-to-end knowledge of Allocation processes and configuration. Experience with SAP Profitability and Performance Management (PaPM) [releases 2402/2408/2502].

Job Responsibilities:

• Design, configure, and implement SAP CO-PA solutions, with a focus on cost and revenue allocations.
• Build and manage allocation cycles (assessment, distribution, top-down) to support profitability and cost analysis.
• Collaborate with finance and controlling stakeholders to gather and translate requirements into system designs.
• Conduct gap analysis, create functional specifications, and work closely with ABAP developers as needed.
• Perform system testing including unit, integration, and user acceptance testing (UAT).
• Troubleshoot issues in production environments and provide end-user support.
• Contribute to S/4HANA migration efforts, with a focus on CO-PA data structures and configurations.
• Maintain system documentation and ensure configuration consistency across environments.

• A minimum 5 years of hands-on experience in SAP CO-PA, including configuration and support.
• Strong understanding of Cost Allocation processes in SAP (e.g., assessment, distribution, top-down).
• In-depth knowledge of Profitability segments, value fields, and characteristics.
• Familiarity with Cost Center Accounting, Internal Orders, and reporting hierarchies.
• Strong analytical, problem-solving, and communication skills.
• Experience with S/4HANA environments is highly desirable.

• Experience with SAP PaPM is a strong advantage.
• SAP certification in Controlling (CO) or S/4HANA Finance.
• Exposure to SAP BW/BI tools for profitability reporting.
• Knowledge of SAP Fiori apps and analytics in the CO space.