Project Information Management (PIM) Data Analyst

We are seeking a Project Information Management (PIM) Data Analyst to join our dynamic eCommerce team.

In this role, you will work directly with both own brand and third-party product data to ensure customer clarity and consistency. You will act as the enabler between product data and master data, play a key role in onboarding new lines, support colleagues in system usage, and proactively find faults with data and feed into system processes.

The role will have hybrid working, consisting of 3 days in the office and 2 days working from home.

Key Accountabilities

• Support the setup and onboarding of new product lines, ensuring consistent data quality.
• Act as the first line of support for issues with product data and imagery on our websites.
• Assist the PIM system admin with user access requests, attribute creation, validation list additions, and other system administration tasks with a focus on data quality.
• Support project work with product data reporting and insights into best practices.
• Respond to high-priority incidents quickly to prevent downtime.
• Frequently meet with key stakeholders to enable their vision for the data displayed on Nisbets websites.

Capabilities, Skills, and Experience Required

• Substantial background in working with product data, including web copy, specifications, and assets (imagery, documents, and videos).
• Keen eye for detail with the ability to spot incorrect data.
• Experience using a PIM system (e.g., STEP, Riversand, Akeneo).
• Advanced Excel knowledge and experienced Microsoft Office user.
• Proven history of working well in a highly collaborative team using tools such as Trello, Teams, and SharePoint.
• Ability to work independently, manage own workload, and contribute to the broader team.
• Strong communication skills and relationship-building across various teams and stakeholders of all levels.
• Desirable: Data experience within retail/catering business.
• Desirable: Analytics experience with tools such as Adobe, Google Analytics.