Senior Product Data Specialist (Amazon Vendor Central)

Senior Product Data Specialist (Amazon Vendor Central) Based: Remote, within the UK or Europe Type: Initial full-time contract to June 2027 Salary: Up to £400 per day contract We're hiring a new role on behalf of a client to support the improvement and quality of our their data in the EMEA Region, as part of a wider migration programme. It is an essential that you understand how Amazon works with PIM and you must have experience of Vendor Central (not Seller Central) In this hands-on role, you will be the key person responsible for ensuring the completeness, quality, and accuracy of data from multiple sources, supporting the timely launch of new products across multiple regions. You’ll play a critical role in QA, validating and cross-checking data across various systems, ensuring it meets the necessary standards for product launches. Key Responsibilities Data Validation: Ensure that all mandatory product data across core systems is complete, accurate, and up to date. Ensuring QA process is followed across ecommerce platforms. Data Stewardship: Coordinate with data owners to correct discrepancies in data and ensure consistency across systems Problem-Solving: Identify areas where data quality can be improved and work with various teams to implement solutions. Stakeholder Collaboration: Communicate with stakeholders to clarify data requests and address any data-related issues, ensuring alignment with launch schedules. Data Tracking & Reporting: Create and manage detailed reports on product data status and product launch progress. Skills & Experience Data Management Expertise: Minimum of 5 years of experience working with data management principles and data integrity concepts, including with PIM data. Amazon Experience: A good understand how Amazon works with PIM data and experience of Vendor Central (not Seller Central) is essential Tool Proficiency: Advanced skills in Excel, and other data tools to maintain and manage data inputs and outputs. This includes dashboard creation. Data Systems Knowledge: Familiarity with a range of data management systems. Data Lifecycle Understanding: Ability to manage and understand the complete lifecycle of product data from creation to launch. Analytical & Detail-Oriented: Strong analytical mindset with keen attention to detail and the ability to spot discrepancies or gaps in data. Communication Skills: Effective communication with both business and technical stakeholders, ensuring clarity in data-related discussions.