Freelance Product Data Quality Analyst

Farfetch; Guimarães; Presencial; EUR 18 000 - 24 000; Tempo integral

Resumo da oferta

Farfetch is seeking a data-centric individual within Creative Operations to ensure accurate product information across our systems. You will perform online research, identify identical items across sources, and maintain data quality while adding new details as needed.

Key tasks include cross-referencing sources, spotting inconsistencies, and updating attributes such as names and descriptions. Strong Excel skills and English proficiency are essential to succeed in this role.

Qualificações

• 1+ years of experience in e-commerce or related field.
• Intermediate Excel skills.
• Strong attention to detail.
• Ability to prioritise and multi-task without compromising on quality standards.
• Advanced IT and English skills.

Responsabilidades

• Analyse, create and/or edit information of the items that arrive production accordingly to our guidelines.
• Identify similar products across multiple sources.
• Verify and validate product information to ensure accuracy and completeness by cross-referencing across multiple sources.
• Compare product information to determine if items are the same or different, identifying variations in attributes such as name, description, and other specifications.
• Investigate and resolve discrepancies found during the validation process, documenting issues and communicating findings effectively to relevant stakeholders.
• Use the internal platform to register and monitor data quality.
• Analyse product defects and identify actions required to resolve them.

Conhecimentos

Attention to detail

Learning agility

English skills

Ferramentas

Excel

Descrição da oferta de emprego

Farfetch is seeking a data-centric individual within Creative Operations to ensure accurate product information across our systems. You will perform online research, identify identical items across sources, and maintain data quality while adding new details as needed.

Key tasks include cross-referencing sources, spotting inconsistencies, and updating attributes such as names and descriptions. Strong Excel skills and English proficiency are essential to succeed in this role.