Data & Analytics Manager

3 months ago

Kuala Lumpur, Malaysia HSBC Full time

-Job description

**Some careers open more doors than others.**

If you’re looking for a career that will unlock new opportunities, join HSBC and experience the possibilities. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.

Wealth and Personal Banking is our new global business combining Retail Banking and Wealth Management; and Global Private Banking, to become one of the world’s largest global wealth managers with USD1.4 trillion in assets. Across Asia, where wealth pools are growing faster than in any other region, HSBC’s wealth revenues grew 12% in 2019 (year-on-year) to USD5.7 billion. Our dedicated colleagues serve millions of customers worldwide across the entire spectrum of private wealth, ranging from personal banking for individuals and families, through to business owners, investors and ultra-high-net-worth individuals. We provide products and services such as bank accounts, credit cards, personal loans and mortgages, as well as asset management, insurance, wealth management and private banking, that best suit our customers’ needs.

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

This is a key position to manage end-to-end data & analytics initiatives from ideation, design & development, deployment & commercialization in an agile working model. Primarily responsible to drive business analytics on product development/redesign across all Wealth & Personal Banking products/services and assess the impact of changes in pricing and marketing programs for business profitability.

The role holder will be accountable to:

- Manage end-to-end data & analytics initiatives from ideation, design & development, deployment & commercialization in an agile working model; able to manage / influence a wide range of partners / stakeholders from technology, business owners as well as senior management.
- Partnering with diverse business functions and HSBC business entities as well as country / regional analytics teams to identify & prioritize opportunities where Data & Analytics can add value; and provide analytics solutioning / quick prototypes that are relevant to business needs in the areas of (not limited to) persona development, signal / propensity based targeting, data-driven personalization & messaging capability, full cycle leads targeting, execution and tracking capability, sales management analysis and process improvement, etc.
- Conduct exploratory data mining and analysis to understand customer behaviours, experience, engagement and uncover opportunities.
- Design end to end ML/AI solutions: from understanding business requirements, data discovery and extraction, model development and evaluation, to production pipeline implementation.
- Deploy new or tweak existing business intelligence dashboards to help organization move towards self-sufficiency when making decisions based on data.
- Managing the Communication Messaging platform end to end, from campaign elaboration, campaign implementation and campaign tracking.
- Execution and management of various reporting (internal and regulatory), campaign roll-outs and campaign fulfilments from relevant internal stakeholders.
- Lead projects related to digital analytics, modelling, data investigation, data development and opportunity identification. Provide recommendation for business adoption and commercialization.
- Support Data Engineering pipelines to deploy new data sources to Google Cloud. Activities include providing ETL logic to Data Engineering team, performing logic rectification, executing various testing activities like UAT, regression testing, ensuring issues/defects are flagged off appropriately.
- Work with key stakeholders implementing control and risk management frameworks on data & analytics processes.
Requirements
- Experience in the Financial Service or Banking sector; or similar experience in analytics consulting or managing digital services and products.
- Minimum 3 years of experience of using Data Science or Machine Learning models to solve complex business problems.
- Proficiency in SAS, SQL, Python, R and/or other Data Science Languages. Knowledge and exposure to cloud analytics platform such as GCP, AWS, Hadoop, Azure.
- Demonstrated understanding of Tag Management & Analytics on Paid Advertising, advanced triggers, custom tag/variable templates, tag sequencing, troubleshooting and preview, GTM staging/production environments, and advanced custom dataLayer-powered triggers for custom site interactions.
- Degree qualification in a relevant business discipline, Economics, Marketing, Math, Statistics or other quantitative fields of study
- Experience delivering a variety of ad hoc extracts, self-service visualisation, and complex automated reporting for business stakeholder.
- Enthusiasm for proactively seeking, exploring and dev

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