About the role
Note: Partly is headquartered in the UK, with a Product and Engineering base in Christchurch, and an early presence in San Francisco. If you are not based in Christchurch, we will fly you to meet the PH team members in the Philippines per quarter for our “Season Openers” (we pay for your travel and accommodation). 🚀 Our story Partly's mission is to connect the world's parts and we're doing that by building the first global platform for replacement parts, starting with auto parts. Our big vision is to accelerate the world toward a sustainable future where anyone can fix anything. Founded by ex-Rocket Lab engineers, we utilise cutting-edge technology to solve challenging but exciting problems that make a huge impact in a $1.9 trillion industry. We've more than tripled our team over the last 12 months and expect to double in size again over the coming 12 months. We're a global team spanning both Europe and Australasia. We provide a scalable digital infrastructure solution to some of the world's largest businesses and the most exciting startups. Partly's solutions are integrated across hundreds of companies globally, providing the backbone for cataloguing and managing parts online. Our investors in Blackbird Ventures (Canva, CultureAmp etc.), Square Peg, Octopus Ventures, Icehouse, Peter Beck (Rocket Lab), Akshay Kothari (Notion Co-Founder) and Dylan Field (Figma Co-Founder). We're continuing to build a world-class team and ensuring Partly is a place where people can do the best work of their lives. We're proud of the culture we've built at Partly, and our values are lived throughout every experience. Want to learn more about the problems we're solving and the culture we're building at Partly? Hear directly from our team here: https://shorturl.at/iAFUX 🖍️ This role As an Auto Parts Data Specialist at Partly, you will play a crucial role in ensuring the accuracy and integrity of vehicle data across our organisation. Your primary responsibility will be to conduct comprehensive research, manage our automotive parts data standard, and correct any errors or inconsistencies. This role reports to the Data Quality Lead and offers an exciting opportunity to contribute to maintaining the highest standards of automotive data quality in a fast-paced and evolving industry. 💻 What will you do 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. 🥷 Your skills 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. Please note: if you don't have all the skills/experience listed above but believe you could be outstanding in this role, please still consider applying. Many folks, especially those from underrepresented or marginalised groups, often count themselves out. Please allow us to learn more about you and why you're exceptional! Our
