Remote Automotive Data Analyst

About the Role

Our client is seeking a meticulous and analytical Remote Automotive Data Analyst to join their growing team. This position is fully remote, offering flexibility while requiring you to dive deep into vast datasets generated by automotive operations and customer interactions. You will be responsible for extracting, cleaning, and analyzing data to provide actionable insights that drive business decisions, improve product performance, and enhance customer experiences within the automotive sector.

This role is ideal for a data-driven professional looking to leverage their skills in a leading automotive company from their home office.

• Collect, clean, and process large volumes of automotive data from various sources, including telematics, CRM, and operational systems.
• Perform in-depth data analysis to identify trends, patterns, and anomalies related to vehicle performance, customer behavior, and market dynamics.
• Develop and maintain dashboards and reports using business intelligence tools (e.g., Tableau, Power BI) to visualize key metrics.
• Communicate findings and recommendations clearly and concisely to stakeholders across different departments.
• Collaborate with engineering and product teams to define data requirements and support data-driven product development.
• Ensure data integrity and accuracy, implementing quality checks and validation processes.

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Proven experience as a Data Analyst , preferably within the automotive industry.
• Strong proficiency in SQL for data extraction and manipulation.
• Expertise in data visualization tools such as Tableau, Power BI, or similar.
• Proficiency in statistical analysis and programming languages like Python or R.
• Excellent analytical, problem-solving, and communication skills, with the ability to present complex data in an understandable format.

• Competitive annual salary and performance incentives.
• Fully remote work arrangement with flexible hours.
• Opportunity to work with advanced analytics tools and large datasets.
• Professional development and training opportunities.
• A collaborative and innovative remote work culture.