Research and verify vehicle specifications, production details, configurations, and factory documentation
Extract information from primary sources, archives, registries, and technical references
Build and maintain structured automotive datasets with clear provenance and citations
Evaluate source reliability and resolve conflicting information
Document supporting evidence for all recorded data points
Use AI tools to accelerate research while independently validating results
Identify gaps, inconsistencies, and opportunities to improve data quality
Propose improvements to data models and classification structures when needed
Collaborate with stakeholders to ensure data accuracy and completeness

3+ years of experience in research, data analysis, cataloging, archival work, or similar detail-oriented roles
Strong ability to assess source quality, credibility, and reliability
Experience working with structured data, spreadsheets, databases, or similar tools
Excellent attention to detail and commitment to data accuracy
Strong written English communication skills
Comfortable using AI tools for research, extraction, and summarization workflows
Ability to work independently and manage research projects with minimal supervision

Preferred Qualifications

Automotive industry experience, particularly with European vehicle manufacturers
Knowledge of collector, classic, or specialty vehicles
German language reading proficiency
Experience with archives, registries, libraries, or historical research
Experience building taxonomies, ontologies, or structured knowledge systems
Basic scripting, database, or data management experien

Automotive Data Analyst – Vehicle Data, Documentation

Key skills