Automotive Data Analyst (Vehicle Data & Documentation)
Gramian Consulting Group
$0-$0 / yr
Salary
brazil
Region
ASAP
Start Date
About Gramian Consulting Group
Gramian Consultancy brings together the perspective of a software engineer, the knowledge of a technical recruiter, and the vision of a business builder. This unique experience is our signature advantage to delivering top quality services in the domain of recruiting, staff augmentation, and outsourcing.
About this Role.
About Us
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
Role overview
Our client is building a data-driven platform focused on creating highly accurate, structured knowledge from complex real-world information sources. The platform combines expert research, data verification, and modern AI-assisted workflows to transform fragmented information into trusted datasets that power downstream products and decision-making systems.
We are looking for a detail-oriented Analyst to help build and maintain structured knowledge about vehicles and automotive history. This role involves researching information from factory documentation, registries, archives, technical references, and other authoritative sources, then transforming that information into reliable, verifiable, and structured data.
CONTRACT: Long-term contractor assignment
COMMITMENT: Full-time with minimum 4 hours overlap with New York working hours
LOCATION: Remote
Responsibilities
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
Requirements
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