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Data & analytics quality control editor

London
WGSN
Quality controller
Posted: 2 March
Offer description

Data and Analytics Quality Control Editor – London, United Kingdom.

Role Overview

Specialising in editing data‑rich content, the successful candidate will ensure all content is factually correct, accurate and ready for publication. The role involves editing a wide range of material from our global content and decision science teams, working with editors, sub‑editors, copywriters and data teams across multiple time zones.

Key Accountabilities

* Data forecasting and editing – analyse and fact‑check data from a variety of sources, including proprietary WGSN data.
* Ensure all data in forecasts is accurate, actionable and clear for industry users.
* Review data and analyses to identify and correct weaknesses that could undermine content quality.
* Collaborate with editorial, image, content and data teams to meet publishing deadlines.
* Maintain adherence to WGSN brand values, style guide and tone of voice.
* Guide and coach internal and external contributors to achieve high standards.
* Contribute to the development of editorial processes, formats and workflows.
* Train and support junior team members.
* Stay updated on global industry trends and leverage that knowledge to improve content quality.
* Monitor production flow and coordinate with editors and other stakeholders as needed.
* Cover for senior editors when required – handling enquiries, workflow queries and general publishing duties.

Skills, Experience & Qualifications Required

* Background in editing with meticulous fact‑checking, particularly quantitative data and data visualisation.
* Experience analysing and visualising data across multiple industries.
* Proficient in Excel and understanding of data analysis roles.
* Strong data‑storytelling skills and ability to question and refine data.
* Knowledge of time‑series data, summary statistics and visualisation best practices.
* Experience with Tableau or similar dashboards.
* Basic SQL knowledge.
* Experience with project management tools such as Jira, Monday, Hive, Smartsheets, etc.
* People‑management and interpersonal skills.
* Familiarity with AI tools (e.g., Grammarly) for proofreading and editing.
* Excellent command of English, spelling and grammar.
* Highly organised and capable of juggling multiple deadlines across mediums and platforms.

What We Offer

* 25 days of holiday per year (option to buy/sell up to 5 days).
* Pension, life assurance and income protection.
* Flexible benefits platform (private medical, dental insurance, critical illness cover).
* Employee assistance programme, season‑ticket loans and cycle‑to‑work scheme.
* Volunteering opportunities and charitable giving options.
* Extensive learning and development opportunities.

Working at WGSN

We offer a hybrid work arrangement with an expectation of three days in our London office per week. Our culture values inclusivity, future‑focus and rigorous analysis, and we support flexible working arrangements. We also provide reasonable adjustments during the interview process to support candidates' needs.

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