Remote Automotive Data Analyst
- reading, berkshire, RG1 1AA, United Kingdom
- Permanent·Remote
- Full time
- £60,000 - £60,000 Per Annum
Job Description
About the Role
Our client is seeking a highly analytical and detail-oriented Remote Automotive Data Analyst to join their expanding team, with opportunities for individuals based near Reading to work remotely. You will be instrumental in extracting insights from vast datasets related to vehicle performance, customer behaviour, and market trends. Your analysis will inform strategic decisions, product development, and operational improvements across the company. This role is perfect for a data professional who can leverage their skills to drive innovation in the automotive sector from the comfort of their home office.
Key Responsibilities
- Collect, clean, and process large datasets from various automotive sources, including telematics, sales, and service records.
- Develop and implement data analysis models and algorithms to identify trends, patterns, and insights.
- Create compelling visualizations and reports to communicate findings to technical and non-technical stakeholders.
- Identify opportunities for process improvement and product enhancement based on data-driven recommendations.
- Collaborate with engineering, marketing, and product teams to support data-informed decision-making.
Requirements
- Proven experience as a Data Analyst , with a focus on large datasets and statistical analysis.
- Proficiency in data manipulation and querying languages such as SQL.
- Experience with data visualization tools like Tableau, Power BI, or similar platforms.
- Strong understanding of statistical methods and their application.
- Familiarity with the automotive industry and its data landscape is a plus.
Benefits
- Competitive salary and bonus structure.
- Fully remote working environment offering excellent flexibility.
- Access to advanced data analysis tools and technologies.
- Opportunities for professional growth and continuous learning in data science.
- Contribute to shaping the future of the automotive industry through data insights.


