Auto Parts Data Specialist, PH

The role

You will ensure the accuracy and integrity of vehicle data by conducting research and managing automotive parts data standards. You will identify and correct errors in vehicle and parts data while collaborating with engineering and development teams.

What you will do

• Understand, interpret, and standardise automotive manufacturer parts catalog information.
• Identify and correct errors, inconsistencies, and inaccuracies in vehicle and parts data.
• Collaborate with cross-functional teams to ensure data quality and integrity.
• Conduct data validation and verification processes to ensure compliance with standards.
• Collaborate with engineering and development teams to define and implement data quality assurance procedures and workflows.
• Monitor and evaluate the effectiveness of data management processes.
• Recommend and implement improvements to enhance efficiency, accuracy, and scalability.
• Work with team members and stakeholders on data management best practices.

Required qualifications

• 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.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.
• 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.

Benefits

• Healthy, Catered Lunches
• Snacks and drinks
• $1,500 annual wellness allowance
• 3 months of fully paid parental leave for primary caregivers
• Flexible return-to-work plan for primary caregivers
• Paid 24/7 parking spot or a commuting allowance
• Quarterly season openers with travel and accommodation covered
• Relocation assistance

About the company

Partly is building the infrastructure for anyone to repair anything using frontier AI. The company is headquartered in Austin, TX with offices in London, UK, Christchurch, NZ and Auckland, NZ.