Auto Parts Data Specialist
P
PartlyAuto Parts
Philippines, RemoteFull-TimeMiddle
Salary not disclosed
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Job Details
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.
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