Product Data Validation Specialist

at  AUTODOC

WHERE YOUR EXPERTISE IS NEEDED

AUTODOC is the largest and fastest growing auto parts ecommerce platform in Europe. Present across 27 countries with around 5,000 employees, AUTODOC generated revenue of over €1.3 billion in 2023, supplying more than 7.4 million active customers with its 5.8 million vehicle parts and accessories for car, truck, and motorcycle brands. Curious minds, adventurous experts and tech-savvy professionals - one team, one billion euros revenue. Catch the ride!

RESPONSIBILITIES:

• Data Initial Review : Review product data from 3P marketplace suppliers
• Map data fields from AWS system to Mirakl system fields, ensuring correct data formats.
• Data Cleaning and Normalization: Identify and remove duplicate records; Correct errors and ensure data consistency through standardization and normalization processes.
• Data Enrichment and Classification: Complete missing product attributes and enhance data with additional relevant information; Classify 3P articles into appropriate categories
• Validation Rule Definition and Implementation: Define and document mandatory fields, acceptable data formats, and business logic for product data validation; Develop and execute automated validation scripts to ensure compliance with established rules.
• Manual Review and Quality Assurance: Conduct random spot checks and in-depth reviews; Work with subject matter experts to validate critical product information.
• Data Integration and Testing: Perform test uploads of validated data into target systems (AWS, PIM) to identify and resolve integration issues; Ensure that data appears correctly and functions as expected within the target systems.
• Ongoing Monitoring and Feedback: Continuously monitor data quality and perform periodic audits to ensure ongoing accuracy; Provide feedback to data sources regarding recurring issues and work towards process improvement.
• Documentation and Reporting: Maintain detailed logs of validation processes and results; Document the data validation process, including rules, procedures, and best practices.

PROVEN EXPERIENCE IN DATA VALIDATION, DATA QUALITY ASSURANCE, OR A RELATED ROLE, PREFERABLY WITHIN THE AUTOMOTIVE INDUSTRY.

• Strong analytical skills and attention to detail.