AVP Business Intelligence Analyst - Mandarin Speaking

London
2 months ago
Applications closed

Related Jobs

View all jobs

Asset Servicing - AVP

Quantitative Analyst

AVP/VP, Quantitative Strategist, Equities [HighSalary]

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.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.