Auto Parts Data Specialist, PH
Manila, Philippines, PhilippinesAll locationsManila, Philippines, PhilippinesPhilippines, Remote Remote
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About the role
This position is remote-based in the Philippines. 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. 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. 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 you'll bring
- 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 or experience listed above but believe you could be outstanding in this role, please still consider applying.
- Many people count themselves out.
- We'd love the chance to learn more about you and why you're exceptional.