Data Analyst
Lucid Motors
| Company | Lucid Motors |
| Category | Data & Analytics |
| Location | King Abdullah Economic City |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 2 Oct 2025 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
About Lucid
At Lucid, we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucid’s proprietary technology and software-defined vehicle architecture, our award-winning vehicles bring our “Compromise Nothing™” approach to the global automotive market. That means refusing to choose between performance and sustainability, design and engineering, ambition and integrity. In Lucid Air and Lucid Gravity, we have designed and built vehicles that have redefined their segments, combining exceptional range, performance, design, and expansive space in a single experience.
We achieve this through deep vertical integration, with design, engineering, and production happening in-house across our global offices and manufacturing facilities. Our teams come from industries around the world, united by a shared commitment to excellence. By refusing to settle, you can help redefine what’s possible and shape the future of mobility. The Data Analyst supports Operations across both Manufacturing and Logistics by transforming data into meaningful insights that drive informed decision-making. This role requires strong analytical capabilities, proficiency in statistical modeling, and expertise in business intelligence tools to help optimize operational performance.
The Data Analyst collaborates with cross-functional teams to identify trends, evaluate operational metrics, and develop actionable insights that support strategic initiatives and improve business outcomes. Responsibilities include analyzing large datasets, building dashboards and reports, and providing leadership with clear, data-driven recommendations.
Success in this role requires a strong technical foundation, attention to detail, and the ability to communicate complex information in a clear and concise manner. The ideal candidate thrives in a fast-paced environment and is passionate about using data to solve operational challenges and enhance organizational performance.
Key Responsibilities:
Gathering business data and reporting requirements from stakeholders, business owners and users from the Manufacturing domain for metrics used to monitor business performance.
Making large and/or complex data more accessible, understandable and usable.
Analyze complex data sets to identify patterns, trends, and insights for all operational teams.
Transforming, improving, and integrating data, depending on the business requirements.
Develop and maintain robust dashboards, reports, and visualizations to communicate findings to stakeholders at all levels.
Report findings and recommendations to leadership, translating complex analyses into clear, actionable insights.
Collaborate with various departments to define key performance indicators (KPIs) and metrics to automate reporting tools & techniques.
Conduct advanced statistical analyses and modeling to support business forecasting and scenario planning.
Ensure data integrity and accuracy by implementing best practices in data management and governance.
Visualize performance data in LUCID standard live dashboards formats.
Stay up to date with industry trends and best practices in data analytics and visualization tools.
Connecting to various systems and a data warehouse to deliver the data in a useful and appealing way to users.
Access technical capabilities of the data framework to deliver data from a latency and accessibility perspective (laptop, mobile, TVs, etc.) and provide technical solutions as needed.
Skills:
Strong analytical and problem-solving skills, with the ability to interpret complex data and identify actionable insights.
Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
Demonstrated project management abilities, includin
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