At a Glance
- Tasks: Analyse operational data and develop dashboards to drive business insights.
- Company: Join a leading multinational corporation with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on teamwork and continuous improvement.
- Why this job: Make an impact by transforming data into actionable insights in a dynamic environment.
- Qualifications: Bachelor's degree and 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.
BI Engineer in Birmingham employer: 京东
As a BI Engineer at our company, you will thrive in a dynamic and collaborative work environment that values innovation and professional growth. We offer competitive benefits, including opportunities for continuous learning and development, while fostering a culture of teamwork and open communication. Located in a vibrant area, our company provides unique advantages such as access to diverse international markets and the chance to work on impactful projects that drive business success.
StudySmarter Expert Advice🤫
We think this is how you could land BI Engineer in Birmingham
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like 京东!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace BI Engineer in Birmingham
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at 京东, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at 京东
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with 京东’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
