Business Intelligence Analyst (Supply Chain Systems)

Business Intelligence Analyst (Supply Chain Systems) Leading the future in luxury electric and mobility

At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility. We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience. Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.

Lucid Motors is seeking a BI Analyst to support our Supply Chain Digital Operations team. This role requires strong business intelligence expertise and a deep understanding of supply chain analytics in a manufacturing environment. The Analyst will lead KPI development and data-driven initiatives to enhance visibility, efficiency, and agility across supply chain functions.

You Will

Partner with Procurement, Planning, Logistics, Program Management, and other stakeholders to identify KPIs and analytics that drive operational value.

Identify gaps in supply chain data and propose solutions to improve visibility and decision-making.

Lead cross-functional initiatives, define project plans, and track progress against timelines.

Align BI and digital strategies with broader business objectives.

Integrate BI solutions with existing systems in collaboration with IT, Operations, and Procurement.

Translate stakeholder requirements into actionable data solutions.

Analyze large datasets from multiple sources to generate insights and support strategic decisions.

Apply best practices in data visualization to solve supply chain challenges.

You Bring

Bachelor’s degree in Engineering, Supply Chain, Computer Science, Finance, or related field (Master’s preferred).

3+ years of experience in supply chain BI development and analytics.

Proficiency in SQL, Python / R, Power BI, Tableau, and data modeling.

Strong analytical skills and familiarity with financial decision models (ROI, TCO, Cash-to-Cash).

Experience with SAP or other ERP / MRP systems.

Solid understanding of supply chain functions, including procurement, logistics, and materials management.

Ability to translate business needs into technical requirements and data solutions.

Strong communication and stakeholder engagement skills.

Proven ability to lead cross-functional projects in a fast-paced environment.

Familiarity with software implementation best practices.

Additional Compensation and Benefits Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and / or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)

By Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice.

To all recruitment agencies : Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.

Seniority level Mid‑Senior level

Employment type Full‑time

Job function Research, Analyst, and Information Technology

Industries Motor Vehicle Manufacturing

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