HSBC

Manager - Data and Analytics

HSBC  •  Guangzhou, CN (Hybrid)  •  4 hours ago
Apply
AI can make mistakes so check important info. Chat history is never stored.

Job Description

Some careers have more impact than others.

If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be.

HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.

We are currently seeking an experienced professional to join our team in the role of Manager - Data and Analytics.

Principal responsibilities

Who You Are

  • An analytical problem-solver with an interest in applying data and analytics to business challenges.
  • A proactive contributor who can structure ambiguous problems and develop practical recommendations.
  • Comfortable working with business and technical stakeholders across different teams.
  • Able to translate complex analysis into clear insights and actionable next steps.
  • Curious about emerging analytics tools, methodologies and industry practices.
  • Willing to challenge existing approaches constructively and test new ideas.
  • A collaborative communicator who can build effective working relationships.
  • Conscious of the importance of data quality, privacy and sound governance.

Roles and Responsibilities:

Strategic analytics and business integration

  • Work with business units to identify opportunities where data analytics can support business objectives.
  • Help develop analytical frameworks, tools and insights aligned with customer needs, market trends and regulatory requirements.
  • Support analysis relating to retail banking strategy, channel optimisation, customer experience and competitive positioning.
  • Translate business questions into analytical requirements, hypotheses and measurable outcomes.
  • Help define KPIs and metrics to assess the impact of analytics initiatives.
  • Contribute to the development of reusable analytical approaches and reporting materials.

Data-driven decision-making

  • Analyse data to identify trends, patterns, opportunities and areas for improvement.
  • Support the development and application of predictive models, segmentation, portfolio analysis and scenario modelling.
  • Interpret analytical outputs and translate them into practical business recommendations.
  • Prepare clear reports, presentations and dashboards for business stakeholders and management.
  • Validate assumptions, data quality and analytical results before sharing conclusions.
  • Support senior colleagues in presenting insights and recommendations to relevant stakeholders.

Business strategy and process improvement

  • Identify opportunities to improve operational effectiveness, resource allocation and decision-making through analytics.
  • Partner with cross-functional teams to support the implementation of data-driven solutions.
  • Help embed analytics into business processes and management routines.
  • Assess the potential impact of proposed solutions on customers, colleagues and operating processes.
  • Support continuous improvement by reviewing performance data and stakeholder feedback.

Stakeholder engagement and collaboration

  • Work collaboratively with analytics, technology, business, finance, risk, compliance, legal and data-governance teams.
  • Build effective relationships with stakeholders and maintain clear communication throughout delivery.
  • Explain analytical findings and technical concepts in an accessible way to non-technical audiences.
  • Prepare meeting materials, status updates, management information and decision papers.
  • Support workshops and discussions to clarify requirements, resolve issues and agree next steps.
  • Promote the value of evidence-based decision-making across relevant business areas.

Governance and data management

  • Follow applicable internal standards, governance processes and regulatory expectations for data and analytics.
  • Support appropriate documentation of data sources, assumptions, methodologies, limitations and outcomes.
  • Work with relevant control functions to identify and manage data, privacy, security and implementation risks.
  • Help ensure that analytical solutions are appropriately monitored and maintained.
  • Escalate material risks, control concerns or delivery issues promptly.
  • Maintain high standards of confidentiality, data handling and professional conduct.

Continuous improvement and industry alignment

  • Keep up to date with developments in analytics, banking technology and financial-services practices.
  • Research relevant tools, techniques and industry examples from Hong Kong, China and international markets.
  • Support benchmarking against leading financial institutions.
  • Evaluate emerging analytical tools and methodologies based on business value, maturity, security and practical application.
  • Share relevant insights and recommendations with the wider team.
  • Contribute to experimentation and continuous improvement while maintaining appropriate governance.

Requirements

  • Bachelor’s degree in Business, Quantitative Finance, Data Science, Economics, Statistics, Analytics, Computer Science or a related discipline.
  • Experience with data analysis, business analytics, strategy, product development, transformation or a related area.
  • Understanding of analytical techniques such as segmentation, portfolio analytics, pricing analysis, predictive modelling and scenario analysis.
  • Ability to translate business questions into analytical approaches and clear recommendations.
  • Experience using tools such as Python, SQL, Tableau, Qlik Sense or Looker Studio.
  • Familiarity with cloud environments such as AWS or Google Cloud Platform is advantageous.
  • Basic understanding of data governance, privacy, information security and regulatory requirements.
  • Strong written, verbal and presentation skills.
  • Ability to communicate effectively with both technical and non-technical stakeholders.
  • Strong organisational skills and the ability to manage multiple tasks and deadlines.
  • A proactive, detail-oriented and collaborative approach to problem-solving.
  • Foundational knowledge of banking or financial services, preferably including retail banking, wealth management or customer analytics.

Candidate with less relevant experience or skills may be offered a lower Global Carrer Band than stated above.

Due to the urgent hiring need, candidates with immediate right to work locally and no relocation need will be prioritised.

You’ll achieve more when you join HSBC.

HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

HSBC

About HSBC

Opening up a world of opportunity for our customers, investors, ourselves and the planet.

We're a financial services organisation that serves more than 40 million customers, ranging from individual savers and investors to some of the world’s biggest companies and governments. Our network covers 58 countries and territories, and we’re here to use our unique expertise, capabilities, breadth and perspectives to open up a world of opportunity for our customers.

HSBC is listed on the London, Hong Kong, New York, and Bermuda stock exchanges.

To view our social media terms and conditions please visit the following webpage: http://www.hsbc.com/social-TandCs

Industry
Finance & Insurance
Company Size
10,000+ employees
Headquarters
London, GB
Year Founded
Unknown
Website
hsbc.com
Social Media