Senior Product Data Specialist – Amazon Vendor Central

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Logo of Smartdesc - charity IT specialists

Smartdesc - charity IT specialists

51 - 200 employees

🤲 Charity

🔒 Cybersecurity

Charity • Cybersecurity • IT Services

Smartdesc is a specialized IT service provider focused on helping charity and non-profit organizations enhance their technology use. Offering IT strategy, support, security, managed services, and digital transformation solutions, Smartdesc aims to optimize IT operations and security for charities. They provide comprehensive services like IT audits, cybersecurity consultations, data protection, and infrastructure design, with a goal of enabling secure and cost-effective operations. As Microsoft Gold Partners and ACEVO-approved Trusted Suppliers, Smartdesc is committed to delivering tailored IT solutions that align with their clients' missions and strategic goals, ensuring trustworthy partnerships and cost savings.

📋 Description

• Ensure that all mandatory product data across core systems is complete, accurate, and up to date. Ensuring QA process is followed across ecommerce platforms. • Coordinate with data owners to correct discrepancies in data and ensure consistency across systems • Identify areas where data quality can be improved and work with various teams to implement solutions. • Communicate with stakeholders to clarify data requests and address any data-related issues, ensuring alignment with launch schedules. • Create and manage detailed reports on product data status and product launch progress.

🎯 Requirements

• Minimum of 5 years of experience working with data management principles and data integrity concepts, including with PIM data. • A good understand how Amazon works with PIM data and experience of Vendor Central (not Seller Central) is essential • Advanced skills in Excel, and other data tools to maintain and manage data inputs and outputs. This includes dashboard creation. • Familiarity with a range of data management systems. • Ability to manage and understand the complete lifecycle of product data from creation to launch. • Strong analytical mindset with keen attention to detail and the ability to spot discrepancies or gaps in data. • Effective communication with both business and technical stakeholders, ensuring clarity in data-related discussions.

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