Auto Parts Data Specialist

Summary

Join Partly, a global platform for replacement parts, as an Auto Parts Data Specialist! You will play a crucial role in ensuring the accuracy and integrity of vehicle data. Your responsibilities include conducting comprehensive research, managing automotive parts data standards, and correcting errors. This role reports to the Data Quality Lead and offers the chance to contribute to high standards of automotive data quality. Partly is headquartered in Christchurch but has a global team, offering travel opportunities to meet team members in the Philippines. We offer competitive salaries and benefits, including a monthly team lunch allowance and a company-provided laptop.

Requirements

• Strong knowledge of automotive systems, components, and specifications, with a focus on auto parts data research and management
• Proven experience in a similar role within the automotive industry, with a track record of successfully managing parts data and ensuring data quality
• Attention to detail and a systematic approach to data research and validation, ensuring accuracy and completeness
• Strong problem-solving and analytical skills, with the ability to identify data inconsistencies, diagnose root causes, and propose effective solutions
• Excellent communication and collaboration skills, enabling effective engagement with cross-functional teams and external stakeholders
• Ability to prioritise tasks, manage multiple projects simultaneously, and meet deadlines in a fast-paced environment
• A passion for data accuracy, integrity, and continuous improvement, with a commitment to maintaining high standards of parts data quality

Responsibilities

• Become an expert at understanding, interpreting, and standardising automotive manufacturer parts catalog information
• Identify and correct errors, inconsistencies, and inaccuracies in vehicle and parts data, collaborating with cross-functional teams to ensure data quality and integrity
• Conduct thorough data validation and verification processes to ensure compliance with established standards, resolving any discrepancies or issues promptly
• Collaborate with engineering and development teams to define and implement data quality assurance procedures and workflows, incorporating feedback from internal and external sources
• Continuously monitor and evaluate the effectiveness of data management processes, recommending and implementing improvements to enhance efficiency, accuracy, and scalability
• Work alongside other team members and stakeholders on data management best practices, ensuring a consistent understanding and application of data standards and quality control procedures

Benefits

• Competitive base salary
• Monthly team lunch allowance
• Company laptop provided through TalentHero