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 highly motivated and experienced Service Supply Chain Business Intelligence Analyst to join our Global Service Supply Chain Transformation team. In this critical role, you will support global service parts operations, including planning, procurement, warehousing, distribution and material master by delivering data-driven insights and scalable analytics solutions. You will work closely with cross-functional teams to gather requirements, build impactful dashboards, and help shape our data strategy. You will be responsible for managing and analyzing key KPIs and delivering actionable insights through tools such as SAP Analytics Cloud (SAC), Tableau, and Salesforce to drive operational excellence and improve service part availability, cost efficiency, and customer satisfaction.

PREFERRED QUALIFICATIONS:

• 3+ years of experience as a Business Intelligence Analyst or Data Analyst, ideally in an operations or supply chain environment.
• Bachelor’s degree in Business Analytics, Data Science, Mathematics or related field required.
• Advanced proficiency in SQL, SAP Datasphere, SAP Analytics Cloud (SAC) and Analytical Models, and Salesforce required.
• Experience with Python (or similar tools) for data extraction, ETL development, and custom analysis.
• Experience in integrating multiple data sources (SAC, Salesforce Service Cloud, logistics platforms) to provide a single source of truth for operations and leadership.
• Familiarity with collaboration and version control tools (e.g., Git, JIRA).
• Strong storytelling abilities using data; able to work independently in fast-paced, ambiguous environments.
• Excellent written and verbal communication skills.
• Experience in supply chain optimization projects such as parts lifecycle management, inventory optimization, and service parts digitalization.
  At Lucid, we don’t just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations.
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  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.

• Partner with stakeholders across the Service Parts Organization to understand business needs and deliver analytics solutions.
• Define and develop key performance indicators (KPIs) – from requirements gathering to data sourcing and visualization.
• Design and maintain interactive dashboards and reports in SAP Analytics Cloud (SAC), Tableau, and Salesforce.
• Track and analyze key service supply chain KPIs such as part availability, inventory turns, service fill rates, backorder levels, and lead times.
• Map out data and process flow to drive operational efficiencies and improve decision-making.
• Ensure the quality, integrity, and reliability of business data across systems.
• Build and maintain ad-hoc reports and dashboards by extracting data from SAP Datasphere and Salesforce using automated scripts.
• Present analytical findings and insights clearly to non-technical stakeholders, highlighting business impact.
• Share best practices with fellow analysts, including code reviews, documentation, and data governance.