We are seeking a highly experienced SAP Controlling Analyst with over 7 years of proven expertise, preferably within the manufacturing industry and automotive sector. The ideal candidate will bring deep knowledge of controlling processes, product costing, and profitability analysis in a manufacturing environment, with the ability to design and implement solutions that align with complex business needs.

In This Role, You Will...

Lead the design, configuration, and implementation of SAP CO solutions, especially in manufacturing/automotive environments, including: Cost Center Accounting (CCA), Profit Center Accounting (PCA), Internal Orders (IO), Product Costing (Standard & Actual Costing, Material Ledger), Profitability Analysis (CO-PA)
Collaborate with finance, manufacturing, and supply chain teams to gather requirements, analyze processes, and deliver tailored SAP CO solutions
Ensure seamless integration with FI, MM, SD, and PP modules, supporting end-to-end manufacturing processes
Drive process optimization in areas like costing runs, variance analysis, and margin analysis for automotive operations
Conduct workshops, prepare functional specifications, and guide ABAP/technical teams during development
Perform system testing, support UAT, and provide post go-live stabilization
Act as a subject matter expert (SME) for CO in manufacturing/automotive
Stay updated on S/4HANA Finance/CO innovations and recommend best practices for manufacturing businesses

Qualifications

7+ years of SAP CO functional experience with strong manufacturing domain knowledge
Hands-on expertise in Product Costing, Material Ledger, and CO-PA in manufacturing/automotive industries
Strong FI integration knowledge
Experience in at least 3 full-cycle SAP implementations
Exposure to automotive costing models, plant-level costing, and global template rollouts preferred
Solid knowledge of S/4HANA Finance/CO (preferred)
Excellent problem-solving, communication, and stakeholder management skills
Bachelor's degree in Finance, Accounting, Engineering, Information Systems, or related field.

Bonus Qualifications

Automotive industry experience with costing, controlling, and profitability analysis
SAP FICO migration experience (ECC to S/4HANA)
Familiarity with manufacturing KPIs and reporting tools (BW, SAC, Fiori)
Ability to work effectively in fast-paced, global manufacturing environments

$167,000 - $201,000 a year

Base Salary Range

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.

About Zoox

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.

Accommodations

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

A Final Note:

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.

Zoox

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