At a Glance
- Tasks: Analyse data to drive business decisions and create impactful reports.
- Company: Join a leading tech company transforming the retail landscape.
- Benefits: Attractive salary, flexible working hours, and opportunities for growth.
- Other info: Collaborative team culture with a focus on continuous learning.
- Why this job: Be at the forefront of data-driven innovation in a dynamic environment.
- Qualifications: 5-7 years in data analysis with strong SQL and Google Analytics skills.
The predicted salary is between 50000 - 70000 £ per year.
Education: Bachelor's degree or above, major in Statistics, Mathematics, Computer Science, Economics, Marketing or related fields preferred.
Experience: 5-7 years of data analyst experience, retail or large e-commerce experience preferred, familiarity with online retail business model is a plus.
Language: Excellent English listening, speaking, reading and writing skills, usable as working language; Chinese communication ability preferred.
Skills:
- Proficiency in SQL, capable of complex queries, data extraction and processing;
- Mastery of Google Analytics, able to analyze traffic and user behavior data, identify needs and opportunities;
- Proficiency in Power BI, able to independently create reports and dashboards with good data presentation skills;
- Data analysis thinking and modeling ability, able to use statistical methods (e.g., regression, clustering) to solve business problems.
Qualities:
- Strong logical thinking, problem-solving and learning ability, adaptable to business and tool changes;
- Good communication, collaboration and teamwork skills;
- Data sensitivity, sense of responsibility and stress resistance, able to complete tasks on time.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Finance
Industries: Technology, Information and Media and Transportation, Logistics, Supply Chain and Storage
Business Intelligence Engineer in England employer: JD.COM
Contact Detail:
JD.COM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Intelligence Engineer in England
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, dashboards, and reports. This will give you an edge and demonstrate your expertise in SQL, Google Analytics, and Power BI.
✨Tip Number 3
Prepare for interviews by brushing up on common BI scenarios and case studies. Practice explaining your thought process when solving data problems, as this will highlight your logical thinking and problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Business Intelligence Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis and any relevant skills like SQL and Google Analytics. We want to see how your background fits with the Business Intelligence Engineer role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about the role and how your skills can help us at StudySmarter. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects: If you've worked on any projects that demonstrate your data analysis skills or experience with tools like Power BI, make sure to mention them. We’re keen to see real examples of your work and how you’ve tackled business problems using data.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at JD.COM
✨Know Your Data Tools
Make sure you brush up on your SQL skills and get comfortable with complex queries. Familiarise yourself with Google Analytics and Power BI, as you'll likely be asked to demonstrate your ability to analyse data and create reports during the interview.
✨Showcase Your Experience
Prepare specific examples from your past roles that highlight your experience in data analysis, especially in retail or e-commerce. Be ready to discuss how you've used statistical methods to solve business problems and what impact your work had on the company.
✨Communicate Clearly
Since excellent communication skills are a must, practice explaining complex data concepts in simple terms. This will not only show your understanding but also your ability to collaborate effectively with non-technical team members.
✨Be Adaptable
Demonstrate your adaptability by discussing times when you've successfully navigated changes in tools or business processes. Highlight your problem-solving skills and how you approach learning new technologies or methodologies.