Data Analyst

Role overview

POP MART is hiring a Data Analyst to support performance tracking and business analysis for its European operations. The position is based in London, Canary Wharf, and is a full-time permanent role within a fast-moving environment focused on designer toys, collectible products, retail, and entertainment.

About POP MART

POP MART is a global trend culture and entertainment company built around intellectual property development and creative incubation. The business partners with artists and designers worldwide to develop popular character IPs and deliver products, experiences, and immersive entertainment. Its portfolio includes MOLLY, SKULLPANDA, DIMOO, THE MONSTERS, and Hirono. The company operates more than 500 stores and over 2,300 Robo Shops across 30+ countries and regions, and serves customers in over 90 countries through cross-border e-commerce.

In Europe, POP MART already has a growing presence in the United Kingdom, France, Italy, Germany, the Netherlands, and Spain, with continued expansion into additional high-potential markets. The wider business also includes licensing, co-branding, art toy expos, and IP-themed exhibitions worldwide.

What you can expect

• Join a rapidly growing European business that combines retail, art, and creative storytelling.
• Collaborate with enthusiastic teams across multiple countries who share an interest in designer toys and distinctive customer experiences.
• Develop your capabilities through practical project work, team learning, and exposure to new ideas.

Key responsibilities

You will focus on daily monitoring, recurring reporting, operational analysis, and cross-functional support across POP MART’s European channels, including physical stores, vending machines, and online sales.

• Set up daily, weekly, and monthly tracking for core operational measures such as revenue, gross profit, expense ratio, payment collection, labour efficiency, and store efficiency across all sales channels.
• Prepare daily, weekly, monthly, and quarterly reports on time, compare performance against budget, year-over-year, and month-over-month trends, and explain the reasons behind variances.
• Monitor important business metrics such as sales volume, average transaction value, conversion rate, and profit margin, then turn that analysis into actions that help improve results.
• Review the performance of markets, stores, and vending machines, spot patterns or issues, and support actions that improve profitability.
• Provide data support to the Business Development team for store and vending machine site selection using market information and operational analysis.
• Support monthly and quarterly operations reviews by preparing materials and presentations, summarising progress, highlighting issues, and tracking follow-up actions.
• Partner with Finance to validate operational, cost, and expense data, align definitions, fix discrepancies, and ensure reporting is dependable.
• Work with business teams every day to understand operational challenges and translate them into workable data solutions.
• Analyse sales operations, marketing, and consumer data to uncover the logic behind results and provide insights that support optimisation.
• Improve recurring insight reports so they go beyond raw data and include clear conclusions and practical recommendations.
• Maintain structured data records and archives to keep information traceable, consistent, and reusable.
• Pull data from business systems, CRM, and ERP platforms; use SQL for querying, cleaning, deduplication, correlation, and aggregation.
• Create and maintain basic dashboards and automated reports that reduce manual work and improve visibility of information.
• Support Sales, Marketing, Product, Supply Chain, Finance, and other teams with ad hoc data requests, exports, custom queries, and basic analytical support.
• Guide business users on simple data viewing and analysis approaches so data can be used more effectively in day-to-day work.
• Help standardise data fields, statistical rules, analysis templates, logs, and archiving practices to strengthen governance.
• Contribute to building a more consistent, practical data culture across the organisation.

Requirements

• 3 to 5 years of business analysis experience is preferred; background in management consulting, internet business analysis, retail operations analysis, or similar analytical roles is an advantage.
• Strong communication and organisational ability, with a structured approach to complex issues.
• A proactive, hands-on, and entrepreneurial mindset suited to a fast-paced environment.
• Excellent problem-solving, analytical, written, and verbal communication skills.
• Strong data awareness and the ability to identify trends and issues from analysis; experience with Excel, SQL, and Tableau is preferred, along with a willingness to learn.
• Strong English skills across listening, speaking, reading, and writing, plus experience collaborating across teams and projects.
• Preferred but not required: experience in toys or pop culture retail, familiarity with retail markets in Europe, understanding of art toy and collectible trends, exposure to multi-country reporting, knowledge of key retail KPIs, experience with reporting automation or process improvement, and familiarity with ERP, CRM, POS, or BI tools such as Tableau, Power BI, or Looker.

Benefits

• Monthly appreciation gifts featuring POP MART designs.
• Structured bonus plan tied to company and individual performance.
• 25 days of annual leave plus bank holidays.
• Life insurance at 4x cover, plus group medical and travel insurance.
• Access to a confidential Employee Assistance Programme and a discount platform for selected online retailers.
• Training and development programmes, plus regular team events that support learning, collaboration, and celebration.

Additional information

This is a full-time permanent position based in London, Canary Wharf. The role is intended for someone who is comfortable working with detailed data, supporting a wide range of operational stakeholders, and contributing to a business that moves quickly and values practical, insight-led decision-making.

How to apply

If this opportunity matches your experience and interests, submit your application with your CV.