
Automotive Data Analyst – Vehicle Data, Documentation
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in Poland.
• Conduct research and verify **vehicle specifications**, production details, configurations, and factory documentation.
• Extract information from **primary sources**, archives, registries, and technical references.
• Develop and maintain structured automotive datasets with clear provenance and citations.
• Assess source reliability and resolve conflicting information effectively.
• Document supporting evidence for all recorded data points.
• Utilize AI tools to expedite research while independently validating results.
• Identify gaps, inconsistencies, and opportunities for enhancing data quality.
• Suggest improvements to data models and classification structures as necessary.
• Collaborate with stakeholders to ensure data accuracy and completeness.
• A minimum of 3 years of experience in **research**, **data analysis**, **cataloging**, archival work, or similar detail-oriented roles.
• Strong capability to evaluate **source quality**, credibility, and reliability.
• Experience working with structured data, spreadsheets, databases, or similar tools.
• Exceptional attention to detail and dedication to data accuracy.
• Proficient written English communication skills.
• Comfortable using AI tools for research, extraction, and summarization workflows.
• Ability to work autonomously and manage research projects with minimal oversight.
• Preferred Qualifications
• Experience in the automotive industry, particularly with **European vehicle manufacturers**.
• Knowledge of collector, classic, or specialty vehicles.
• Proficiency in reading German.
• Background in archives, registries, libraries, or historical research.
• Experience in building taxonomies, ontologies, or structured knowledge systems.
• Basic skills in scripting, database management, or data handling.
• Competitive salary and performance-based incentives.
• Opportunities for professional growth and development.
• Access to cutting-edge technology and tools.
• Collaborative and inclusive work environment.
• Flexible working arrangements.
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