SAP EWM - Business Systems Analyst

The SAP EWM Analyst owns the implementation and optimization of SAP Extended Warehouse Management (EWM) on SAP S/4

HANA, partnering with manufacturing and supply chain teams to deliver scalable warehouse operations. The role requires strong expertise in manufacturing and logistics business processes, with a working understanding of integrations across SAP SCM, MES, PLM, and Master Data Management. The ideal candidate applies SAP Best Practices, deep analytical skills, and technical judgment to design, implement, and support effective solutions, while maintaining high standards for system documentation, procedures, and operational readiness.

• Solution Ownership:
  Lead functional design, configuration, validation, and end-to-end testing of SAP solutions supporting engineer-to-order supply chain and manufacturing operations.
• Manufacturing Partnership:
  Work closely with the manufacturing line to translate real-world operational needs into scalable enterprise application solutions.
• Delivery & Governance:
  Drive disciplined execution through clear scope, design, testing, cutover, and project documentation, ensuring readiness for deployment and support.
• Collaboration & Enablement:
  Communicate effectively across teams, facilitate user training, and demonstrate strong ownership of deliverables.
• Issue Management:
  Proactively track, prioritize, and drive issue resolution through closure.

• Background:
  Bachelor’s degree in IT or related field (or equivalent experience) with hands-on SAP S/4
  
  HANA EWM implementation, rollout, and post-go-live support experience.
• EWM Expertise:
  Deep functional knowledge of SAP EWM including inbound, outbound, internal warehouse processes, production material staging, physical inventory, and high-volume electro-automotive warehouse operations.
• Integration & Master Data:
  Strong understanding of EWM integrations with PP, QM, MM/IM, EAM/PM, FSM, MES, TM, and third-party warehouse systems; solid grasp of master data and serial, batch, and handling unit management.
• Delivery & Configuration:
  Proven ability to manage EWM configuration, automatic inbound/outbound processing (ASN/EDI), WOCR, waves, RF, monitoring, and custom developments through functional specifications.
• Execution & Mindset:
  Self-driven communicator experienced in requirements gathering, blueprinting, UAT, cutover, documentation, and Agile/Waterfall delivery, thriving in fast-paced startup environments.

• Industry
  
  Experience:
  
  Background in manufacturing, automotive, or autonomous vehicle environments.
• Certifications:
  
  SAP EWM certification preferred.
• Additional
  
  Skills:
  
  Experience with SAP TM is a plus.

$167,000 - $201,000 a year

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance.

The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

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If you need an accommodation to participate in the application or interview process please reach out to  or your assigned recruiter.

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.