Supply Chain Data Analyst (SAP Master Data Specialist)

We are seeking a process-driven and technically adept Senior Supply Chain Data Analyst to serve as the master data anchor for our global logistics and distribution portfolio. Operating embedded within our Material Logistics division, you will take absolute operational ownership of the end-to-end data lifecycle-ensuring that all product master files, vendor source lists, warehousing parameters, and structural deployment schedules are flawlessly maintained across our global enterprise systems. This position demands an analytical professional who can move seamlessly between high-volume data architecture governance and technical business workflows. You will perform root-cause analysis on data alignment gaps, coordinate system provisioning, leverage advanced automation or AI tools to streamline manual inputs, and collaborate across matrixed corporate boundaries (Finance, Warehousing, and IT) to maintain a single source of truth for our supply chain ecosystem., SAP Master Data Governance & Integrity System Architecture Maintenance: Manage, audit, and continuously maintain all core areas of Master Data within SAP Materials Management (MM), including Material Masters, operational contracts, source lists, procurement cycles, delivery schedules, pricing matrixes, and regional facility catalogs. Lifecycle Process Development: Partner with supply chain architects to build, standardize, and document multi-phased lifecycles, data-governance policies, and standard operating procedures for controlling inventory master data (item masters, location parameters, and accounting metadata). Change Integration Management: Promptly execute data migrations and entries to support dynamic business updates, including multi-tier product launches, system sunsets, new vendor onboardings, and localized warehouse additions. Cross-System Synchronization: Oversee and audit multiple enterprise databases simultaneously, ensuring data consistency and synchronization across all platforms utilized by the logistics division.

Data Automation, Scripting & Advanced Analytics Process Optimization: Conduct comprehensive reviews of legacy data-management workflows to identify operational bottlenecks; deliver data-backed recommendations to streamline and automate manual entries. Scripting & Query Engineering: Utilize data tools to write and execute programmatic solutions (SQL, Python, or SAS) to mine data lakes, audit records, and optimize dataset loads. Intelligent Automation: Leverage modern AI tools and agents to establish innovative workflows for workload distribution, data validation, and user security permissions management. Performance Reporting: Engineer, format, and distribute clear, automated data dashboards and status reports detailing pipeline velocities, operational blockers, and cross-functional stakeholder responsibilities.

Cross-Functional Operations & System Administration Multi-Disciplinary Collaboration: Partner closely with Planning, Service Delivery, Warehousing, Inventory Reconciliation, Finance, Tax teams, and the SAP Center of Excellence (CoE) to eliminate cross-organizational data silos. Forensic Root-Cause Analysis: Investigate complex master data failures, cross-system billing or ordering mismatches, and structural data exceptions, driving cross-organizational remediation. System Access Coordination: Facilitate and manage enterprise application system permission requests, serving as the central coordinator between logistics end-users and corporate cybersecurity groups. Technical Training Delivery: Design and administer functional training modules and systems user guides to cross-skill internal logistics personnel and optimize software adoption.

Education: A Bachelor's degree in Supply Chain Management, Information Technology, Business Analytics, or a related quantitative field is preferred but not mandatory., oMinimum of one (1) year of professional experience in a dedicated Master Data Management (MDM), Demand Planning, or high-volume supply chain operations role (with a relevant degree). oMinimum of three (3) years of identical data operations experience required if the candidate does not possess a degree. ERP Mastery: Proven, hands-on expert-level capability navigating and configuring SAP Materials Management (MM) data structures. Technical Tool Depth: oAdvanced-level mastery of Microsoft Excel (complex lookup matrices, array formulas, data modeling). oFunctional, baseline capability reading and writing code/queries utilizing Python and SQL to manipulate datasets. Soft Skills: Exceptional problem resolution capabilities coupled with elite written, verbal, and stakeholder presentation habits.

Preferred "Nice-to-Have" Qualifications Direct experience utilizing Winshuttle or SAP Analysis tools to manage high-volume data loading scripts. Analytical experience leveraging specialized data manipulation tools such as SAS. Previous experience operating within large-scale, enterprise-level logistics, procurement, or high-velocity material distribution networks.

For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major medical, dental, vision, 401k and any statutory sick pay where required. We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please contact your staffing representative who will reach out to our HR team. AllSTEM Connections participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program. _Participation_Poster_ES.pdf We also consider for employment qualified applicants regardless of criminal histories, consistent with legal requirements, including, if applicable, the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment-qualified applicants with arrest and conviction records, including, if applicable, the San Francisco Fair Chance Ordinance. For Los Angeles, CA applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.