🕒 4 days ago
Utilize your payroll and tax expertise to enhance customer experience by processing tax payments and collaborating with cross-functional teams to ensure seamless operations.
PIM Data Cleansing Administrator (1 year fixed-term)
📅 Jul 24
PIM SystemsData CleansingData ValidationExcel
📜 Description
- Review and cleanse product records in the PIM system, checking attributes against defined rules and flagging items requiring input from data owners.
- Apply formatting and validation rules to product records, logging issues and resolutions in a shared tracker to ensure auditability.
- Support PIM project activities, including preparing meeting materials, task tracking, and maintaining documentation such as change logs and process instructions.
- Coordinate with data owners (Merchandising, Logistics, Compliance) to request missing information and follow up on outstanding items, escalating blockers when needed.
- Assist in maintaining consistent data quality practices across product records and projects.
🛠️ Requirements
- 1–2 years of experience in a commercial environment (e.g., operations, admin, data, supply chain, e-commerce, finance, or similar).
- Strong Excel skills, including basic formulas (VLOOKUP/XLOOKUP, IF, COUNTIF), data validation, and structured data handling.
- High attention to detail and comfort with repetitive, high-volume administrative work.
- Strong communication skills and confidence working with multiple stakeholders.
- Fluent English (spoken and written).
✨ Benefits
- Access to unique discounts at high street retailers, hotels, and service providers.
- 50% discount on all Lovehoney products.
- Hybrid work model with three days per week in-office and the opportunity to work remotely for up to 4 weeks per year.
- 25 days' holiday, plus an additional day for each year with Lovehoney.
- Customized training opportunities and biannual feedback cycles.
- Gym benefits and a mental wellbeing platform.
- Complimentary 1Password Family account for secure password management.
Full job description
Lovehoney Group is the world’s leading sexual wellbeing company, with the mission to elevate pleasure through innovative technologies, a data-driven approach, and foster creative and fresh perspectives on intimacy. We offer exciting brands with innovative, high-quality sex toys, lingerie, and accessories in a streamlined online shopping experience.
At Lovehoney, we employ over 800 passionate and progressive individuals across 11 global offices, each person contributing a unique blend of talents to our diverse workforce. We are proud to be a company that thrives by doing things differently, challenging expectations and stereotypes while making a positive impact on our customers’ lives.
Join us at Lovehoney, where pleasure combines with creativity, data, and innovation!
We are currently looking for a PIM Data Cleansing Administrator who will be integral to driving high-level performance across Lovehoney Group. Partnering directly with the PIM Data Cleansing Lead, your focus will be on auditing, correcting, and completing our product data ahead of migration into our new PIM system. In this role, you will combine your appreciation for structured, detail-driven admin work with your capacity for creative problem-solving when data doesn't add up. You will develop skills crucial to advancing in a competitive, fast-paced retail sector, all within a company that prizes dedication and results.
What you will do
What you should bring
Must-haves
- 1–2 years of experience in a commercial environment (e.g., operations, admin, data, supply chain, e-commerce, finance, or similar).
- Strong Excel skills, including basic formulas (VLOOKUP/XLOOKUP, IF, COUNTIF), data validation, and structured data handling.
- High attention to detail and comfort with repetitive, high-volume administrative work.
- Strong communication skills and confidence working with multiple stakeholders.
- Fluent English (spoken and written).
- Basic understanding of product data, master data, or ERP/PIM systems.
- Experience with data cleansing or migration projects.
- Exposure to large datasets (thousands of rows, multiple attributes).
- Interest in data quality, systems, or digital transformation initiatives.
- Familiarity with AI tools (e.g., ChatGPT, Copilot) to spot data inconsistencies.
Nice-to-haves
What we can offer you
Our interview process
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