Senior Data Analyst, Sales Analytics

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.

We are seeking an experienced and highly motivated Senior Data Analyst to own and drive the end‑to‑end analytics function for our Sales organization. This person will bridge business needs and technical implementation, turning complex data into actionable insights and driving scalable reporting solutions. You will partner cross‑functionally with Data Engineering, Revenue, Finance, Incentive Planning, and BI platform teams to ensure that our data infrastructure, reporting systems, and analytical processes are robust, accurate, and continuously improving.

• Lead the full-cycle Sales analytics function, including requirements gathering, large-scale data analysis, KPI development, and the design and delivery of impactful dashboards and reports.
• Design, develop, and maintain critical Sales performance dashboards and KPIs, with a focus on usability, scalability, and data integrity.
• Leverage Apache Airflow for managing data pipelines, and use API integrations to enrich data sources, automate data workflows, and expand reporting capabilities.
• Own and enforce data quality standards by implementing rigorous data validation, transformation logic, and anomaly detection practices.
• Conduct detailed data investigations to uncover trends, surface root causes, and develop actionable business insights.
• Translate complex analytics into clear, compelling narratives through data storytelling, visualizations, and presentations tailored to business and executive stakeholders.
• Drive efficient data extraction and transformation strategies across multiple sources (cloud and on-prem), collaborating with Data Engineering to maintain high‑scale, performant data infrastructure.
• Act as a global analytics lead, aligning priorities across regional teams, Tableau platform owners and Data Engineering, ensuring consistency and scalability of analytics assets.
• Partner with Engineering to enhance the Sales data mart and enterprise data warehouse, including development of new data models and enrichment layers.
• Contribute to the design and optimization of ETL pipelines, identifying opportunities for automation, improved performance, and increased reliability.
• Collaborate closely with Finance and Revenue teams to perform monthly revenue reconciliations, ensuring consistency between operational metrics and financial reporting.
• Manage Tableau environment responsibilities, including permissions management, user access provisioning, dashboard governance, and coordination with Tableau Admins.
• Build strong cross‑functional partnerships with Sales, Marketing, Customer Success, Delivery, Service, Finance, Legal and Data Engineering, acting as the analytics thought partner across the business.
• Proactively manage change in a dynamic environment by partnering closely with Product Owners and Program Managers to understand shifting business processes or systems, ensuring analytics solutions adapt smoothly without disrupting decision‑making or operational continuity.

• 5+ years of experience in Data Analytics, Business Intelligence, or Data Science roles, with a focus on Sales analytics or Finance Analytics.
• BS/MS in a quantitative discipline:
  Analytics, Computer Science, Statistics, Engineering, Mathematics or a related field.
• Expert‑l…