At a Glance
- Tasks: Analyse data to support operations and enhance decision-making across European markets.
- Company: Join POP MART, a leading global brand in designer toys and collectibles.
- Benefits: Enjoy monthly gifts, bonuses, training, and team events for a vibrant work culture.
- Other info: Be part of a multicultural team and grow your career in a dynamic industry.
- Why this job: Make an impact in a fast-paced environment while developing your analytical skills.
- Qualifications: Strong data analysis skills and experience with Excel and BI tools required.
The predicted salary is between 28800 - 43200 £ per year.
About POP MART
POP MART (09992.HK) is a leading global company in the trend culture and entertainment industry. Centered around IP, POP MART has built a comprehensive platform for creative incubation and IP operation, empowering global creators while delivering exciting products, services and immersive entertainment experiences to consumers. POP MART identifies and nurtures emerging artists and designers worldwide, creating popular character IPs through a well-established development and operation system. Our portfolio includes iconic characters such as MOLLY, SKULLPANDA, DIMOO, THE MONSTERS and Hirono. POP MART operates over 500 physical stores and more than 2,300 Robo Shops across more than thirty countries and regions, and through multiple cross border e-commerce platforms reaches audiences in over ninety countries and regions, bringing joy to young consumers around the world.
POP MART has developed a comprehensive IP commercialisation ecosystem that spans multiple industries, deepening emotional bonds between fans and IPs while exploring broader opportunities for value creation. Our ventures include the world’s first immersive intellectual property themed park in the art toy industry, the expansion of its IPs into global markets through licensing and co-branding with leading global brands, and the curation of art toy expos and intellectual property themed exhibitions internationally. In Europe, POP MART has built a strong presence in key markets including the United Kingdom, France, Italy, Germany, the Netherlands and Spain, and is expanding into new high potential markets. Our expansion brings POP MART closer to European fans and offers new ways for them to connect with our IPs and stories.
What to Expect
- Contribute to a rapidly growing European retail business
- Work closely with cross functional teams across multiple countries
- Develop practical analytics skills through hands on projects and real operational challenges
Benefits
- Monthly appreciation gifts featuring our latest POP MART designs
- A structured bonus scheme linked to company and individual performance
- Access to a confidential Employee Assistance Programme (EAP) for counselling and wellbeing support
- Training and development programmes that build both professional skills and creative thinking
- Regular team events that bring our people together to share ideas and celebrate our work
The Role and Candidate
The Data Analyst – Operations Support sits within the European Operations Support function and reports directly to the Head of Operations Support. The role is responsible for strengthening operational visibility, data accuracy, and analytical discipline across European markets, supporting informed decision making and effective risk management.
Working closely with EU functional leads and local market teams, this role supports Loss Prevention, Learning & Development, Health & Safety, Retail Operations, and People teams through reliable reporting, structured KPI tracking, and clear, actionable insights. The position requires strong ownership, attention to detail, and the ability to operate confidently in a fast paced, multi country retail environment.
Responsibilities
- Collect, clean, and analyse operational data from EU and local entities to ensure accuracy and consistency
- Produce structured weekly, monthly, and quarterly dashboards for Operations Support functions, including Loss Prevention, Learning & Development, and Health & Safety
- Monitor core operational KPIs across shrinkage, staff turnover and training coverage, Health & Safety compliance, customer experience, and store performance
- Deliver focused deep dive analysis to identify operational risks, gaps, and improvement opportunities
- Build and maintain clear, decision ready dashboards and reports using Excel, BI tools, and Lark Base
- Maintain consistent KPI definitions and data logic, ensuring results are reliable and easily understood by stakeholders
- Develop and enhance KPI frameworks to support operational maturity and business growth
- Support Loss Prevention, Learning & Development, Health & Safety, and Retail teams with audit data preparation, consolidation, and reporting
- Analyse audit outcomes to surface priority risks, recurring issues, and areas requiring intervention
- Maintain visibility of corrective actions and track closure status
- Support functional and store teams in defining clear action plans with owners, timelines, and measurable outcomes
- Track progress against agreed actions and escalate non-compliance or repeated issues where necessary
- Support operational projects through data analysis and presentation materials, including store openings, launches, efficiency initiatives, shrinkage reduction programmes, and training roadmaps
- Present insights to EU leadership and cross functional stakeholders to support decision making
- Support new store openings with performance tracking and post opening reviews
Required Qualifications
- Strong data analysis skills with solid experience in Excel, BI tools, dashboards, and data modelling
- Experience with Lark Base and RetailNext analytics is a strong advantage
- Good understanding of retail KPIs and operational performance metrics
- Ability to interpret complex data sets and translate them into clear, actionable insights
- Strong communication skills with the ability to work effectively across multiple teams
- High level of ownership, attention to detail, and comfort working in a fast paced, multi country environment
Desirable but Not Essential
- Experience in retail, FMCG, or operational support environments
- Exposure to Loss Prevention, Health & Safety, Customer Experience, or store operations
- Experience working in an international or multi country setting
- Additional European language skills such as Italian, Spanish, or Danish
Your Application
If this opportunity sounds exciting to you, please apply with your updated CV via “Apply Now” or email us at eu.hr@popmart.com.
Data Analyst in London employer: POP MART
At POP MART, we pride ourselves on being an exceptional employer, offering a vibrant and multicultural work environment in the heart of Canary Wharf, London. Our commitment to employee growth is evident through structured training programmes, regular team events, and a supportive Employee Assistance Programme, ensuring that our team members thrive both professionally and personally. Join us to be part of a dynamic company that values creativity and collaboration while contributing to the exciting world of designer toys and collectibles.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching POP MART and its culture. Understand their products and values so you can show how you fit into their team. Tailor your answers to reflect your passion for the brand and the role.
✨Tip Number 3
Practice your data analysis skills! Use real-world examples from your past experiences to demonstrate your expertise. Be ready to discuss how you've tackled challenges and delivered insights that made a difference.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the POP MART family.
We think you need these skills to ace Data Analyst in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Analyst role. Highlight relevant experience and skills that match the job description, especially in data analysis and reporting. We want to see how you can contribute to our fast-paced environment!
Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples of how you've used Excel, BI tools, or any other relevant software in past roles. This helps us understand your practical experience and how you can hit the ground running.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data analysis and how it aligns with POP MART's mission. Let us know why you're excited about this opportunity and how you can help us grow in the European market.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at POP MART
✨Know Your Data
Before the interview, brush up on your data analysis skills. Familiarise yourself with key retail KPIs and operational performance metrics relevant to POP MART. Be ready to discuss how you've used data to drive decisions in past roles.
✨Showcase Your Tools
Make sure you can confidently talk about your experience with Excel, BI tools, and any other analytics software like Lark Base. Prepare examples of dashboards or reports you've created that demonstrate your ability to present clear, actionable insights.
✨Understand the Company Culture
POP MART thrives in a fast-paced, multicultural environment. Research their values and recent projects to show you're not just interested in the role but also in being part of their dynamic team. Mention how your background aligns with their mission.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think of examples where you've identified operational risks or gaps and how you proposed solutions. This will highlight your analytical discipline and ownership.
