Senior Automotive Data Analyst
- cambridge, cambridgeshire, CB2 1GA, United Kingdom
- Permanent·Hybrid
- Full time
- £58,000 - £58,000 Per Annum
Job Description
About the Role
Our client is seeking a highly analytical and experienced Senior Automotive Data Analyst to join their team in Cambridge . In this critical role, you will be responsible for collecting, analyzing, and interpreting vast amounts of automotive data to provide actionable insights that drive strategic decision-making. You will work with data from vehicle performance, customer behavior, market trends, and manufacturing processes to identify opportunities for improvement and innovation. This position requires a strong command of data analysis tools and techniques, coupled with a deep understanding of the automotive industry, operating within a hybrid work model that combines office collaboration with remote flexibility.
Key Responsibilities
- Collect, clean, and transform large datasets from various automotive sources.
- Develop and implement statistical models and analytical techniques to uncover trends and patterns.
- Create compelling data visualizations and dashboards to communicate findings to stakeholders.
- Provide data-driven recommendations for product development, marketing strategies, and operational efficiency.
- Collaborate with engineering, product, and business teams to define data requirements and analytical needs.
- Mentor junior analysts and contribute to the development of data governance best practices.
Requirements
- Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field.
- 5+ years of experience in data analysis, with a significant focus on the automotive sector.
- Proficiency in SQL, Python, or R for data manipulation and analysis.
- Experience with data visualization tools such as Tableau, Power BI, or equivalent.
- Strong understanding of statistical modeling, machine learning, and data mining techniques.
- Excellent communication and presentation skills, with the ability to explain complex data insights to non-technical audiences.
Benefits
- Competitive salary and bonus opportunities.
- Hybrid working arrangement offering work-life balance.
- Comprehensive health, dental, and vision insurance.
- Generous pension contributions.
- Access to advanced training and development programs in data analytics and automotive technologies.


