Sr. Data Analyst, Service Analytics
Lucid Motors
| Company | Lucid Motors |
| Category | Uncategorised |
| Location | Phoenix |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 12 Aug 2026 |
| Last verified | 12 Aug 2026 |
| Source | Employer ATS (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.
Lucid Motors is seeking highly motivated and experienced BI/Data Analyst to join it’s Service Analytics team. This role will be crucial in providing analytical support to the various teams within Service Organization, and some outside stakeholders. The ideal candidate will be skilled in developing business dashboards, comfortable working with large datasets, and working with cross functional teams to gather requirements, document, and deliver analytics solutions. The candidate should have an aptitude for story telling using data, and comfortable with ambiguity.
The Role:
Work with multiple stakeholders within Service Organization, in particular Service Supply Chain operations, to understand their business needs, and develop analytics solutions
Developing KPI metrics related to supply chain ops for the teams – gathering requirements, documenting, identifying and extracting data, and developing solutions
The role will be responsible for developing and communicating insights about parts used in service, parts distribution, parts planning, parts consumption & warehouse operations among others
Work with business process owners to develop process & data flows to streamline business processes, in particular merging data from Salesforce and SAP for analytics
Take ownership of quality and reliability of business data of your primary stakeholders
Developing ad-hoc data and reporting solutions – extract data from multiple sources using automated scripts and generate reports/dashboards
Presenting and communicating business impacts to stakeholders based on your analysis
Collaborate and communicate best practices in data science with other analysts (e.g., code reviews, data integrity and reliability)
Qualifications:
4+ years of experience as a B.I. Analyst or Data Analyst, operations background preferred
Graduate degree in Business Analytics or related field of study - Minimum of Bachelor's degree with significant experience in data science
Familiarity with SAP ERP for supply chain operations is a plus
Highly proficient in SQL, and Tableau dashboard development - experience in Salesforce preferred
Experience in developing reports and dashboards in Salesforce is a plus
Ability to use Python (or other tools) for data extraction, develop ETL pipelines, and perform ad-hoc analytics
Knowledgeable in using collaboration tools (Git repositories, JIRA systems, version control, etc.)
Excellent written and verbal communication skills
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 unde