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SAP Financial & Supply Chain Analytics Lead - Cloud Modernization (Google Cloud)

SAP Financial & Supply Chain Analytics Lead - Cloud Modernization (Google Cloud)

Dataplatr Inc.Delhi, IN
7 hours ago
Job description

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 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.

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 / 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.
  • Preferred Qualifications

  • 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.
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