At a Glance
- Tasks: Build data models, monitor trends, and provide insights for business growth.
- Company: Join JD.com, a global leader in tech and supply chain innovation.
- Benefits: Competitive pay, great office vibes, and a focus on your growth.
- Other info: Inclusive workplace that values every voice and offers excellent career development.
- Why this job: Gain hands-on experience and make a real impact in a fast-paced environment.
- Qualifications: Pursuing a degree in Data Analytics or related fields with strong analytical skills.
The predicted salary is between 20000 - 30000 £ per year.
Who We Are
At JD.com, also known as JINGDONG, everything begins with a bold idea and the drive to make life smarter, faster, and more connected. What started in China has grown into one of the world’s most trusted technology and supply chain ecosystems, serving over 700 million customers. From retail and logistics to tech, property, and beyond, we’re all about innovation that actually makes a difference. Our Global Reach: JD.com is expanding worldwide through a digitally intelligent, cross‑border supply chain and world‑class logistics network.
What We Offer
As an intern at JD.com, you’ll work on meaningful, hands‑on projects, learn from talented colleagues across our global network, and grow in a supportive, fast‑paced environment designed for development. With competitive compensation, great office locations, and a people‑first culture that champions continuous learning, you’ll have everything you need to thrive and kick‑start your career.
About Your Program
You’ll be joining the JD Young (JDY) Internship Program, designed to give early‑career talent hands‑on exposure to real projects, real responsibilities, and real growth. Over 3–6 months, you’ll work alongside experienced teams, build fundamental skills, and gain insights into how a global business operates.
- Data System Construction: Build data models and indicator systems based on business needs, such as quality experience and user operation systems, to ensure that data accurately reflects business conditions and provides strong support for business monitoring and analysis.
- Data Monitoring and Analysis: Establish a data monitoring system to track business data fluctuations, conduct in‑depth analysis of anomalies, promptly identify business risks and issues, and provide data‑driven insights for decision‑making, ensuring stable business operations.
- Business Value Mining: Extract value from data, gain insights into user needs, identify business opportunities in line with industry trends, and propose targeted strategy recommendations. Drive the execution of strategies and projects to support business growth and optimization.
- Project Support: Participate in business projects by providing data support, assist in resolving data‑related issues, track project performance feedback, and ensure smooth project execution to meet expected goals.
- Data Application Promotion: Convert analytical findings into data product requirements, promote data visualization and data product development, enhance data usability and application value, and provide more convenient and efficient data services for the business.
About You
- Currently pursuing or recently completed a degree in Data Analytics, Finance, Economics, Computer Science, Mathematics, or a related quantitative field.
- Strong analytical skills with the ability to build data models and design KPI/indicator systems that reflect real business performance.
- Proficiency in data analysis tools (e.g., SQL, Python, Excel, or BI tools like Tableau/PowerBI) to monitor trends and investigate anomalies.
- Ability to translate complex data into actionable insights, identifying business risks, user needs, and growth opportunities.
- Strong communication and collaboration skills, with the ability to support projects and present data‑driven recommendations to cross‑functional teams.
Ready To Apply? Don’t leave yourself wondering ‘what if’. Hit apply and see where your curiosity can take you at JD.com.
We are committed to creating an inclusive workplace where every voice counts and every talent belongs. We are proud to be an equal‑opportunity employer. All employment decisions are made without regard to race, color, religion, gender identity, sexual orientation, national origin, disability, age, veteran status, or any legally protected characteristic.
JD Young AI Data Analyst Internship employer: JD.COM INTERNATIONAL UK LTD
At JD.com, we pride ourselves on being an exceptional employer that fosters a dynamic and inclusive work environment. As an intern in our JD Young Internship Program, you'll engage in impactful projects while benefiting from competitive compensation and a culture that prioritises continuous learning and professional growth. With our global reach and commitment to innovation, you'll have the opportunity to develop your skills alongside talented colleagues in a supportive atmosphere, setting the stage for a successful career in the tech and supply chain sectors.
Contact Details:
JD.COM INTERNATIONAL UK LTD Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land JD Young AI Data Analyst Internship
✨Tip Number 1
Network like a pro! Reach out to current or former interns at JD.com on LinkedIn. Ask them about their experiences and any tips they might have for landing the internship. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for your interview by brushing up on your data analysis skills. Be ready to discuss how you've used tools like SQL or Python in past projects. Show us you can turn complex data into actionable insights!
✨Tip Number 3
Don’t just apply; engage with JD.com’s content online! Comment on their posts, share relevant articles, and show your enthusiasm for their innovative projects. This can help you stand out as a passionate candidate.
✨Tip Number 4
When you get that interview, ask insightful questions about the team and projects you'll be working on. This shows us you're genuinely interested in contributing to JD.com and eager to learn from the experience!
We think you need these skills to ace JD Young AI Data Analyst Internship
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your analytical skills and any experience with data analysis tools like SQL or Python. We want to see how you can build data models and design KPI systems that reflect real business performance.
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to match the JD Young AI Data Analyst Internship. Use keywords from the job description to show us you’re a perfect fit for the role.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your insights and experiences are easy to understand.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and get back to you quickly!
How to prepare for a job interview at JD.COM INTERNATIONAL UK LTD
✨Know Your Data Tools
Make sure you brush up on your skills with data analysis tools like SQL, Python, and Excel. Be ready to discuss how you've used these tools in past projects or coursework, as this will show your practical experience and understanding of the role.
✨Understand the Business Context
Familiarise yourself with JD.com's business model and recent developments in the tech and supply chain sectors. This knowledge will help you connect your skills to their needs and demonstrate that you're genuinely interested in contributing to their mission.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems or analyse data scenarios. Practice articulating your thought process clearly, as this will showcase your analytical skills and ability to translate complex data into actionable insights.
✨Showcase Your Collaboration Skills
Since the role involves working with cross-functional teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you can contribute to a supportive team environment.
