SAP Financial

Job Title: SAP Financial & Supply Chain Analytics Lead - Cloud Modernization (Google Cloud or Snowflake)

Location: Remote, Pan India

Employment Type: Contract 3+ Months

Experience: 10+ Years

We are seeking a highly experienced and strategic SAP Analytics Lead to spearhead the modernization of our core Financial and Supply Chain analytics capabilities. This role requires deep expertise in SAP's financial (FI/CO) and logistics/supply chain (SD/MM/PP) data structures combined with significant hands-on experience migrating, optimizing, and building advanced analytical solutions using Google Cloud Platform (GCP) technologies.

• Strategy & Architecture: Define the technical architecture and roadmap for migrating existing on-premise SAP Business Warehouse (BW) and BusinessObjects (BO) reporting to a modern, cloud-native analytics platform on Google Cloud.
• SAP Data Expertise: Serve as the subject matter expert (SME) for extracting, transforming, and modeling complex SAP data, including:
• Financials (FI/CO): General Ledger, Accounts Payable/Receivable, Cost Center Accounting, Profitability Analysis (CO-PA).
• Supply Chain (S/4HANA Logistics, ECC SD/MM/PP): Sales Order Management, Inventory, Procurement, Production Planning, and Master Data (Material, Vendor, Customer).
• Google Cloud Implementation: Design, develop, and implement data pipelines and analytical solutions using core GCP services such as:
• Data Warehousing: BigQuery (primary target for modeled SAP data).
• Data Integration/ELT: Cloud Data Fusion, Dataflow, Pub/Sub, and/or SAP Data Services (BODS) for extraction and loading into BigQuery.
• Visualization: Integration of SAP Analytics Cloud (SAC) or other BI tools (e.g., Looker, Tableau) with BigQuery.
• Data Governance & Security: Implement best practices for data masking, lineage, and access control within the GCP environment.
• Solution Delivery: Lead the technical delivery of high-impact analytics projects, translating business requirements (e.g., Real-time inventory visibility, advanced CO-PA reporting) into scalable and optimized technical solutions.
• Mentorship & Best Practices: Promote data modeling standards, query optimization techniques, and CI/CD practices across the development team for both SAP and GCP environments.

• Minimum 10+ years of experience in Data Warehousing, Business Intelligence, and Analytics.
• Deep Functional and Technical Expertise in SAP: Must have a proven track record of extracting, transforming, and modeling SAP Financial (FI/CO) and Supply Chain (SD/MM/PP) data . Direct experience with SAP S/4HANA data models is highly preferred.
• Strong Cloud Modernization Experience: Minimum 3 years of hands-on experience architecting and delivering data solutions on Google Cloud Platform (GCP) .
• Expert-level knowledge of BigQuery for data modeling (star schema, data vault), query optimization, and performance tuning.
• Proficiency in data integration/ETL tools, including using Cloud Data Fusion, Dataflow, or a combination of BODS/other third-party tools for moving data from SAP to GCP.
• Excellent SQL skills and experience with scripting languages (Python, Java) for data transformation tasks.
• Proven ability to interact with business stakeholders to understand and refine analytical requirements.



• GCP Certification (e.g., Google Cloud Professional Data Engineer or Cloud Architect ).
• Experience integrating SAP Analytics Cloud (SAC) or Looker with BigQuery.
• Familiarity with containerization and orchestration tools (Docker, Kubernetes) in the context of data pipelines on GCP.
• Prior experience working with SAP technologies like BW/4HANA or SAP Datasphere .
• Familiarity with modern data mesh or data fabric concepts.