At a Glance
- Tasks: Transform business logic into data frameworks and deliver insights for strategic decisions.
- Company: Leading international e-commerce platform with a dynamic work culture.
- Benefits: Competitive salary, global exposure, and opportunities for professional growth.
- Why this job: Join a fast-paced environment and make an impact on international market strategies.
- Qualifications: 8+ years in e-commerce data analysis and proficiency in SQL and Excel.
- Other info: Ideal for self-motivated individuals who thrive in collaborative, international settings.
The predicted salary is between 130000 - 238000 £ per year.
We are looking for a Senior Data Analyst to support international e-commerce operations in the UK market. In this role, you will translate business logic into structured data frameworks, develop KPI systems, and deliver analytical insights to support strategic decision-making. You will work closely with cross‑functional teams to monitor platform performance, analyze merchant and product ecosystems, and support growth initiatives. We particularly welcome candidates currently working in large-scale internet platform companies with strong e-commerce ecosystems and international marketplace experience.
Key Responsibilities
- Build and maintain data frameworks and KPI systems to monitor business performance
- Develop dashboards and analytical reports
- Analyze data across merchant, product, and content ecosystems
- Translate business requirements into actionable data insights
- Monitor marketplace performance and identify growth opportunities
- Support market growth strategies and operational optimization
- Collaborate with product, operations, and strategy teams
Requirements
- This role requires candidates who are currently working in a leading internet platform or large‑scale e‑commerce ecosystem with extensive experience in platform data analytics.
- 8+ years of experience in e‑commerce platform data analysis
- Strong proficiency in Excel, SQL, Hive, and at least one visualization tool
- Experience building dashboards and business monitoring systems
- Ability to translate business needs into data‑driven frameworks
- Chinese language proficiency at a professional working level or higher
- Experience with content‑driven platforms or communities is a plus
Candidate Profile
- Strong analytical and logical thinking
- Results‑driven with strong ownership and accountability
- Highly self‑motivated and proactive
- Excellent collaboration and coordination skills
- Comfortable working in fast‑paced international environments
List of Advantages
- Competitive compensation package
- Opportunity to work in a global e‑commerce environment
- Exposure to international market expansion projects
- Dynamic and fast‑paced professional environment
Salary Range GBP: £130,000 – £238,000 per year
Senior Data Analyst — International E-commerce (Chinese Speaking) employer: Lingo-nova
Contact Detail:
Lingo-nova Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst — International E-commerce (Chinese Speaking)
✨Tip Number 1
Network like a pro! Reach out to connections in the e-commerce space, especially those who work at large-scale internet platforms. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your best analytical projects and dashboards. When you get the chance to chat with potential employers, share these examples to demonstrate how you can add value to their team.
✨Tip Number 3
Stay updated on industry trends! Follow e-commerce news and data analytics blogs. This knowledge will not only help you in interviews but also show that you're genuinely interested in the field.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills. Plus, applying directly can sometimes give you a better shot at getting noticed by hiring managers.
We think you need these skills to ace Senior Data Analyst — International E-commerce (Chinese Speaking)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Data Analyst. Highlight your experience in e-commerce and data analytics, especially any work with large-scale platforms. We want to see how your skills align with our needs!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples of how you've built dashboards or developed KPI systems in your previous roles. This is your chance to shine and show us what you can bring to the table.
Craft a Compelling Cover Letter: Your cover letter should tell a story about your journey in data analytics. Explain why you're passionate about e-commerce and how your background makes you a perfect fit for our team. We love a good narrative!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Let’s make it happen!
How to prepare for a job interview at Lingo-nova
✨Know Your Data Tools
Make sure you brush up on your skills with Excel, SQL, and any visualisation tools you’ve used. Be ready to discuss specific projects where you’ve built dashboards or KPI systems, as this will show your hands-on experience.
✨Speak the Language
Since this role requires Chinese language proficiency, practice discussing your past experiences in both English and Chinese. This will not only demonstrate your language skills but also your ability to communicate complex data insights effectively.
✨Showcase Your Analytical Mindset
Prepare examples of how you've translated business needs into actionable data insights. Think about times when your analysis directly influenced strategic decisions or growth initiatives, and be ready to share those stories.
✨Collaboration is Key
Highlight your experience working with cross-functional teams. Be prepared to discuss how you’ve collaborated with product, operations, and strategy teams to optimise performance and drive growth in previous roles.