SAP Global Coupa functional Lead

10 hours ago

Bengaluru, Karnataka, India Jconnect Infotech Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Role & responsibilities

SAP Global COUPA Functional Lead

Experience: 6+Years

Location: Bengaluru

Mandatory Skills: Coupa Consultant, Procurement, Sap S4Hana

Job Description

  • Proven hands-on experience of COUPA configurations and administration, with a skilled understanding of underlying SAP financial table structures and data elements.
  • A thorough understanding of the Coupa platform, its various modules (e.g., procurement, sourcing, invoice management), and their functionalities is crucial.)
  • Working successfully across the full lifecycle of technology-enabled change: from requirements definition through solution design, build, testing to transition to live operation.

  • Sound understanding of the following areas:

  • COUPA and COUPA marketplace products

  • SAP S4/HANA
  • Analytics and Reporting through SAP/COUPA platforms
  • Purchasing and their key integration points with Finance functional areas
  • Working effectively with offshore/near shore service providers.
  • Collaborate with stakeholders, including Product, Engineering, and Data Science teams, to support data-driven decision-making.
  • Skilled at influencing and negotiation, at ease interacting with senior collaborators and open to questioning them with logical arguments.
  • The ability to leverage Coupa's reporting and analytics tools to identify areas for improvement and optimize processes is important.
  • Automate and streamline data ingestion, transformation, and analytics processes to enhance efficiency.
  • Develop real-time and batch data processing solutions, integrating structured and unstructured data sources.
  • Expertise in processing and analyzing large data workloads
  • Experience in designing and implementing scalable Data Warehouse solutions to support analytical and reporting needs.
  • Experience with API development and design with REST or GraphQL. Experience building and optimizing 'big data' data pipelines, architectures, and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

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