Remotery

Automotive Data Analyst – Vehicle Data, Documentation

Posted 1 day ago

This is a fully remote position, open to applicants in Poland.

📋 Description

• 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.


⛳️ Requirements

• 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.


🏝️ Benefits

• 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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