At a Glance
- Tasks: Analyse operational data, monitor KPIs, and develop insightful dashboards.
- Company: Join a leading multinational corporation in the tech industry.
- Benefits: Competitive salary, career growth opportunities, and a dynamic work environment.
- Other info: Collaborative culture with a focus on innovation and problem-solving.
- Why this job: Make an impact by transforming data into actionable insights for global operations.
- Qualifications: Bachelor's degree with 3+ years in financial data analysis; SQL proficiency required.
The predicted salary is between 36000 - 60000 £ per year.
Responsibilities
- Operational data analysis for international shared services: Understand the operational processes of shared services, comprehensively monitor key performance indicators, promptly detect data fluctuations and conduct in-depth root cause analysis, swiftly identify business anomalies and risk points, and provide solutions.
- Aggregate international business data: Map existing core operations and product lines across international business units, master current data storage methods and logical frameworks, consolidate international business data, promptly detect fluctuations and conduct root cause analysis.
- Analyse international cash flow statements: Collaborate with Treasury and Accounting teams to understand JD's capital operations and data sources, produce international cash flow analysis and forecasts, continuously refine and enhance predictive models.
- Expense Analysis: Collaborate with Procurement to understand JD.com's procurement classifications and data sources, conduct international expense analysis, promptly detect data fluctuations, and conduct in-depth root cause analysis.
- Data Dashboard Development: Work with the IT Department to transform the above analyses into data dashboards.
- Complete ad hoc data analysis tasks assigned by management.
Qualifications
- Full-time bachelor's degree or higher, with 3+ years' experience in financial operations data analysis at large internet companies or multinational corporations.
- Proficiency in SQL/Hive and other data languages, with fluent use of Microsoft Office (Excel, PowerPoint, Word).
- Strong logical reasoning, resilience under pressure, data analysis skills, and ability to gather, organise, and synthesise information.
- Excellent communication skills within and across teams, willingness to embrace challenges, ability to thrive under pressure, and capacity to deliver tasks efficiently within tight deadlines.
- Demonstrated capability in resource integration and project management.
数据科学家 employer: JD.COM
As a leading player in the international market, our company offers a dynamic work environment where data scientists can thrive. With a strong emphasis on employee growth and development, we provide comprehensive training programmes and opportunities for career advancement. Our collaborative culture fosters innovation and creativity, making it an excellent place for professionals looking to make a meaningful impact in the field of data analysis.
StudySmarter Expert Advice🤫
We think this is how you could land 数据科学家
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common data science questions and scenarios. We recommend doing mock interviews with friends or using online platforms to get comfortable with articulating your thought process.
✨Tip Number 3
Showcase your skills through projects! Create a portfolio of your data analysis work, including dashboards and reports. This gives potential employers a tangible sense of what you can do and how you approach problems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace 数据科学家
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience in operational data analysis and any relevant projects you've worked on. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our team. Don't forget to mention your experience with SQL and data analysis!
Showcase Your Analytical Skills:In your application, give examples of how you've tackled data fluctuations or conducted root cause analyses in the past. We love seeing real-world applications of your skills, so make it count!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at JD.COM
✨Know Your Data Inside Out
Make sure you’re well-versed in the operational processes and key performance indicators relevant to the role. Brush up on your SQL and data analysis skills, as you’ll likely be asked to demonstrate your proficiency during the interview.
✨Prepare for Scenario-Based Questions
Expect questions that require you to analyse data fluctuations or conduct root cause analysis. Think of specific examples from your past experience where you successfully identified anomalies and provided solutions, as this will showcase your problem-solving skills.
✨Showcase Your Communication Skills
Since collaboration with teams like Treasury, Accounting, and Procurement is crucial, be ready to discuss how you’ve effectively communicated complex data insights in previous roles. Highlight any experiences where you’ve worked cross-functionally to achieve a common goal.
✨Demonstrate Your Project Management Experience
Be prepared to talk about your experience in resource integration and project management. Share examples of how you’ve managed tight deadlines and delivered results under pressure, as this will show your resilience and ability to thrive in a fast-paced environment.
