Automotive Data Analyst (Vehicle Data & Documentation)

About the role

We are seeking a detail‑oriented Automotive Data Analyst to join a data‑driven platform that transforms complex vehicle information into structured, trustworthy datasets. The role is fully remote and requires close collaboration with a team operating on New York business hours.

Key responsibilities

• Research and verify vehicle specifications, production details, configurations, and factory documentation from primary sources, archives, registries, and technical references.
• Extract, clean, and structure automotive data while documenting provenance and citations for every data point.
• Assess source reliability, resolve conflicting information, and record supporting evidence.
• Leverage AI tools to accelerate research, then independently validate the results.
• Identify gaps or inconsistencies in the dataset and propose improvements to data models and classification structures.
• Collaborate with stakeholders to ensure data accuracy and completeness.

Required profile

• Minimum 3 years of experience in research, data analysis, cataloguing, archival work, or similar detail‑oriented roles.
• Strong ability to evaluate source quality, credibility, and reliability.
• Excellent written English communication skills.
• Self‑motivated, able to manage research projects with minimal supervision.

Required skills

• Structured data handling
• Spreadsheets
• Databases
• AI tools for research and extraction
• Basic scripting for data manipulation