Senior Data Analyst

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of machine learning, GenAI, and computer vision within the automotive sector.

With over $200M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.

UVeye is looking for an experienced Senior Data Analyst to join our Data team

As our Data Analyst, you'll play a pivotal role in cleaning, analyzing static data, and contributing to the success of our data-driven culture.

A day in the life and how you’ll make an impact:

• Perform thorough cleaning and analysis of static data, ensuring accuracy and reliability.
• Conduct statistical and exploratory analysis to uncover patterns, trends, and key insights.
• Create insightful reports and visualizations that effectively communicate complex findings to various stakeholders.
• Work directly with stakeholders to understand their data needs and collaborate in making informed, data-driven decisions.
  
  

• 5+ years of experience as a data analyst, with a proven track record of using data to drive business decisions.
• Exceptional critical thinking and problem-solving abilities, with a proven capacity to break down complex problems and communicate clear insights.
• Strong proficiency in SQL for complex querying and data manipulation.
• Strong Python hands-on experience in data analysis and data manipulation
• Solid understanding of data warehousing concepts, data modeling, and ETL/ELT.
• Familiarity with Apache Airflow is a significant advantage.
• Experience with data visualization tools such as Looker, Tableau etc.
• Experience with, or a strong desire to learn, the practical value of AI and automation tools for improving efficiency and uncovering new insights.
• Bachelor's degree in a quantitative field such as Data Science, Computer Science, or Statistics.