AVP Business Intelligence Analyst - Mandarin Speaking

London
2 months ago
Applications closed

To see more Chinese jobs please follow us on WeChat: teamchinapf AND pfteamchina
Ref: 22912
Job Title: Assistant Vice President Business Intelligence Analyst - Mandarin Speaking
Your New Salary: Depending on experience
Location: London (Hybrid, 3 days in the office)
Job Status: Full-time permanent
Department: Financial Management
About the role
Financial Management department is in charge of planning, organising, directing and controlling the financial activities of the Bank. The department performs a variety of financial functions, including accounting and financial reporting, fixed asset and expenses management, budget and management reporting, taxation (indirect and direct), regulatory reporting, treasury (asset and liability management) and capital management. As an Assistant Vice President Business Intelligence Analyst - Mandarin Speaking, you will support the Business Intelligence Analysis team in gathering, analysing, and interpreting data to help drive reporting automations and informed business decisions. You will work closely with senior analysts to develop reports and dashboards that will contribute to the department’s efficiency.
What You'll be Doing:

  • Assist in data collection from various internal and external sources and perform initial analyses to identify trends and insights
  • Support the development and maintenance of Business Intelligence (BI) dashboards and automated reports using tools such as Tableau, Power BI, or similar platforms
  • Perform data cleansing and validation tasks to ensure the accuracy and reliability of datasets
  • Collaborate with team members and stakeholders to understand data requirements and contribute to meaningful reporting solutions
  • Support with the streamline of reporting processes and contribute to the automation of data workflows
  • Provide support for ad hoc analytical requests and contribute to projects as needed
    The Skills You'll Need to Succeed:
  • Degree educated in Business Analytics, Data Science, Computer Science, Information Systems, or other equivalent
  • Experienced in data analysis, BI, or a related area
  • Familiarity with BI tools (e.g. Tableau, Power BI, Looker) and basic SQL for data querying
  • Proficiency in Microsoft Excel for data manipulation and reporting
  • Solid ability to analyse and interpret data, with keen attention to detail
  • Basic experience with data modelling
  • Exposure to programming languages such as Python or R is an advantage
  • Familiarity with data visualization best practices
  • Team player willing to collaborate in a fast-paced and diverse environment
  • Excellent English and Mandarin communication skills, with the ability to present findings in a clear and concise manner
    Please view all our Team China jobs at people-first-recruitment
    Please follow us on Linkedin: people-first-team-china
    We would be grateful if you could send your CV as a Word document. If your application is successful, you will be contacted within 7 days. We regret that due to the high volume of applications we receive we cannot provide feedback on individual CVs. Please note that we can only consider candidates who are eligible to work in the UK and are able to provide relevant supporting documentation.
    People First is committed to increasing diversity, and maintaining an inclusive workplace culture. We welcome applications from all qualified candidates regardless of their ethnicity, race, gender, religious beliefs, sexual orientation, age, marital status or whether or not they have a disability.
    People First (Recruitment) Limited acts as an employment agency for permanent and fixed term contract recruitment and as an employment business for the supply of temporary workers. Please note that by applying for this job you accept our Terms of Use and Privacy Policy which can be found on our website

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Jobs Careers

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Jobs

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.