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 Overview 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. Key Responsibilities Strategy & Architecture: Define the technical architecture and roadmap for migrating existing on-premise SAP Business Warehouse (BW) and Business Objects (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/4 HANA 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: Big Query (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 Big Query. Visualization: Integration of SAP Analytics Cloud (SAC) or other BI tools (e.g., Looker, Tableau) with Big Query. 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. Required Qualifications 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/4 HANA 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 Big Query 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.  Preferred Qualifications GCP Certification (e.g., Google Cloud Professional Data Engineer or Cloud Architect ). Experience integrating SAP Analytics Cloud (SAC) or Looker with Big Query. Familiarity with containerization and orchestration tools (Docker, Kubernetes) in the context of data pipelines on GCP. Prior experience working with SAP technologies like BW/4 HANA or SAP Datasphere . Familiarity with modern data mesh or data fabric concepts.