You Will:

Work in a dynamic, cross-functional team to advance our cutting-edge battery and ESS products Own the design, development, and maintenance of ongoing metrics, analyses, dashboards, etc. which drive improvements and innovation in battery products and development processes Collaborate with Battery Software engineers to identify key insights from vast fleet data regarding battery algorithms performance, fleet battery health, and battery usage pattern Collaborate with the Data Engineering team to manipulate large datasets and build data sources Collaborate with the Data Science & Machine Learning team to build advanced analytics and AI solutions to improve products Design and develop analytical solutions with Tableau, Grafana and SQL Participate in data strategy and road map exercises, business intelligence/data warehouse product selection Present insights from complex datasets to battery, partner teams and executives in a timely and concise manner Design, implement & optimize data pipelines to extract data from various sources, transform it into a usable format, and load it into data warehouses

You Bring:

3+ years of work experience with business intelligence, data modeling, and statistical analysis Experience working directly with business users to build reports, dashboards and solving business questions with data Advanced skills in data visualization tools like Tableau and Grafana Experience with handling big data and building data pipelines using Python/Pyspark Strong understanding of dimensional modeling techniques for data warehouses and OLAP systems. Familiarity with concepts such as time series analysis, multivariate models, hypothesis testing, inferential statistics & ML Models. Advanced ability to draw insights from data and communicate them to the stakeholders and senior management as required Proficient with SQL and large-scale databases Expert Python programming skill Continuous learning mindset - willingness to learn new skills and methods as needed Strong communication and presentation skills

Advantageous Qualifications:

Experience with data analytics in automotive/manufacturing context Familiarity with Lithium ion batteries Knowledge of Spark Architecture & Pyspark

Education Requirements:

BS/MS in Computer Science, Mathematics, Statistics or other quantitative field

Be part of something amazing

At Lucid, we don’t just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace and is an affirmative action employer.  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.