Data Analyst

POP MART

London, UKonsitePosted May 21, 2026
Posting intelligenceActively listedReposted 2×, possible evergreen/ghost posting

Skills

tableaulookerexcel

About the role

Data Analyst

Industry: Designer toys and collectible pieces

Location: London, Canary Wharf

Job type: Full time Permanent

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.

For more information, please visit www.popmart.com and our LinkedIn Career page.

What to Expect

POP MART is a fast-paced company with a young and multicultural team where you can expect to:

Contribute to a fast-growing European business that combines retail, art, and creative storytelling

Work with passionate teams across different countries, all connected by a shared love for designer toys and unique customer experiences

Grow your skills through hands-on projects, collaborative learning, and opportunities to explore new ideas

Benefits

POP MART offers our employees:

Monthly appreciation gifts featuring our latest POP MART designs

A structured bonus scheme linked to both company and individual performance

25 days of annual leave, in addition to bank holidays

4x life insurance, together with group medical and travel insurance

A confidential Employee Assistance Programme, alongside access to a discount platform for selected online retailers

Training and development programmes, together with regular team events that encourage learning, collaboration, and celebration

The Role and Candidate

We are looking for a data driven and detail oriented professional to support business performance monitoring and analysis across POP MART’s European business.

This role focuses on operational reporting, performance tracking, and business insight generation across key revenue channels, including physical stores, vending machines, and online business. You will support the business by monitoring core operational indicators, identifying trends and issues through data, and helping teams better understand performance through clear, accurate, and practical analysis.

You will also work closely with teams including Finance, Retail Operations, Marketing, Merchandising, and Business Development to support regular reporting, operational reviews, and day to day data requests. In parallel, the role will contribute to improving reporting consistency, data quality, and the practical use of data in business operations.

This position would suit someone with solid analytical capability, structured thinking, and a hands on approach, who is comfortable working with detailed data while supporting wider business needs in a fast paced environment.

Responsibilities

Daily Operation Monitoring and Performance Review

Establish daily, weekly and monthly monitoring for core operational indicators, including revenue, gross profit, expense ratio, payment collection, labour efficiency and store efficiency, across all revenue channels such as physical stores, vending machines and online business

Prepare daily, weekly, monthly and quarterly operational reports in a timely manner, benchmark performance against budget, year on year and month on month data, and analyse the causes of performance gaps

Track key business indicators including sales volume, average transaction value, conversion rate and profit margin, and provide regular operational analysis to support performance improvement

Analyse the performance of different markets, stores and vending machines, identify trends and issues, and support the development of targeted actions to improve profitability

Support the Business Development team with data input for store and vending machine site selection, based on market data and operational analysis

Support monthly and quarterly operational review meetings by preparing review materials and presentations, highlighting business progress, key issues and improvement priorities, and tracking follow up actions

Work closely with the Finance team to verify operational, cost and expense data, align statistical definitions, resolve data discrepancies, and ensure management reporting is accurate and reliable

Business Insights and Reporting

Work closely with business teams on a daily basis to understand key business pain points, and support practical data solutions based on business needs and operating scenarios

Conduct data analysis across sales operations, marketing and consumer insights, identify the business logic behind the data, and provide insights to support business optimisation

Improve the quality and depth of recurring insight reports by moving beyond data listing and strengthening business focused conclusions and recommendations

Build and maintain structured data records and archives to support data traceability, consistency and reusability

Extract and process data from multiple sources, including business systems, CRM and ERP systems, and use SQL for regular queries, data cleaning, deduplication, correlation and aggregation

Build and maintain basic dashboards and automated reports to reduce manual reporting, improve data visibility, and support more efficient access to information

Cross Functional Collaboration and Data Governance

Support Sales, Marketing, Product, Supply Chain, Finance and other teams with day to day data requests, including customised queries, report exports and basic analysis support

Provide guidance to business teams on basic data viewing and analysis methods to improve the practical use of data in daily operations

Support the standardisation of data fields, statistical rules and analysis templates, and help establish data logs and archiving practices to strengthen data governance

Contribute to the development of a more consistent and practical data culture across the business

Required Qualifications

3–5 years of business analysis experience; candidates with experience in management consulting, internet business analysis, retail operations analysis, or other relevant analytical experience, or those with extensive professional experience are preferred

Excellent communication and organisational skills, capable of handling complex issues with structured thinking and analytical abilities

Proactive, hands-on, and entrepreneurial mindset with experience working in a fast-paced business environment

Outstanding problem-solving, analytical, written and verbal communication skills

Data-sensitive, able to identify business trends and issues through data analysis; proficiency in data analysis and visualisation tools such as Excel, SQL, Tableau is preferred, but strong willingness to learn is a must

Proficiency in English (listening, speaking, reading and writing), with extensive experience in cross-team project collaboration and communication

Desirable but Not Essential

Experience in the toy industry or pop culture retail sector

Familiarity with Local and European retail landscapes

Understanding of designer toy and collectible trends, particularly in the art toy market

Experience supporting operational reporting across multiple countries or regions

Understanding of retail KPIs including conversion rate, ATV, margin, labour efficiency and inventory performance

Exposure to data governance, reporting automation, or process improvement initiatives

Experience within retail, consumer goods, eCommerce, or multi-site operations environments

Experience working with ERP, CRM, POS or business intelligence systems

Familiarity with dashboard tools such as Tableau, Power BI or Looker

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