About The Position

The Data Architect / Business Analyst serves as the principal liaison between functional Supply Chain business teams and technical development teams. The role defines the logical and semantic data architecture needed to translate aerospace transactional part business processes into scalable data models and analytics solutions. It combines functional knowledge of supply chain operations with technical proficiency designing data structures for analytics environments using SAP HANA, MS SQL, Teradata, Tableau, and other sources.

Requirements

  • Bachelor's degree in information systems, Supply Chain Management, Computer Science, or a related field.
  • At least 5 years of experience in a techno-functional role bridging business analysis and SAP data architecture.
  • Demonstrated experience with SAP HANA or S/4HANA implementations, specifically in Logistics and Supply Chain modules.
  • Strong understanding of SAP HANA data architecture and differences between ECC and HANA / S/4HANA data models.
  • Proficiency in SQL for data validation and analysis, including querying databases to verify business logic.
  • Experience designing reporting solutions and data models for enterprise analytics platforms such as Tableau, SAP HANA, MS SQL, and Teradata.
  • Knowledge of aerospace transactional part business, including traceability, configuration management, and compliance requirements.
  • Proficiency with the SCOR model and its application in enterprise resource planning systems.

Responsibilities

  • Analyze and map aerospace supply chain processes and transactional part lifecycles to analytics fabrics.
  • Lead the transition of reporting requirements to HANA / S/4HANA architecture, using modern data structures to support analytics.
  • Evaluate how innovations affect existing business processes and recommend architectural adjustments to improve data accuracy and usability.
  • Translate functional business requirements into technical specifications for SAP HANA data modeling and other database technologies, including MS SQL and Teradata.
  • Conduct gap analyses between current functional processes and future system logic, and develop technical solutions for data granularity and lineage discrepancies.
  • Identify opportunities to harmonize and enhance semantic layers for cross-business-unit and cross-system needs.
  • Design logical architecture for Tableau dashboards and ensure the semantic layer aligns with business logic, SAP HANA, and other source data.
  • Use SQL to validate data models and confirm development outputs match functional requirements.
  • Collaborate with SAP process experts and technical developers to resolve data integrity issues in supply chain processes and data models, particularly Order to Cash (OTC) and Procure to Pay (PTP) flows.
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