National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Assistant Vice President Business Intelligence Analyst - Mandarin Speaking

networx
Greater London
1 month ago
Applications closed

Related Jobs

View all jobs

EA, Executive Administrator, Business Support Administrator

Assistant Vice President, EIA Data Analytics

Vice President, eFX Quantitative Research

Quantitative Research - Credit - Vice President

Quantitative Analyst - Vice President

Quantitative Research - Credit - Vice President

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. This is a full time permanent position.

Key responsibilities

  • 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

Requirement

  • 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
National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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 Careers

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

Jobs

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

Jobs

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.

🍪 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.