AVP - Lead Analytics Engineer

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 62 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 Assistant vice President - Lead Analytics Engineer

Business: Procurement 

Principal responsibilities

Analytics Delivery & Prototyping

• Build and enhance QlickSense dashboards to deliver actionable insights for procurement stakeholders.
• Write and optimize SQL queries on BigQuery for complex analytical needs.
• Create rapid prototypes and POCs to address urgent business requirements.

Architectural & Data Engineering Capabilities

• Design and support data workflows across ETL, DWH, and BI layers.
• Collaborate with IT/Data Engineering teams on data pipeline architecture for procurement datasets.
• Contribute to solution design reviews and propose architecture improvements.

Automation & Engineering Mindset

• Automate recurring reporting and data preparation processes.
• Apply modular coding practices and documentation for reusability.
• Drive technical innovation in reporting/analytics.

Data Governance & Quality

• Implement data validation checks and quality monitoring dashboards.
• Partner with governance teams to ensure compliance with data management standards.
• Address data integrity issues proactively.

Problem Solving & Priority Handling

• Act as the first responder for critical analytics issues.
• Troubleshoot and resolve issues independently under tight deadlines.
• Provide consulting-style analytics support.

Mentorship & Team Enablement

• Coach junior analysts on SQL, QlikSense, and best practices.
• Set coding and development standards for the analytics team.
• Build team maturity in engineering-led analytics delivery.

Advanced Analytics (Good-to-Have)

• Use Python (pandas, scikit-learn, matplotlib) for exploratory data analysis and automation.
• Build small-scale ML models (classification, regression, clustering) as POCs where relevant.

Requirements :

• 8–15 years of experience in data analytics, BI, and data engineering.
• Strong expertise in QlikSense dashboarding and advanced SQL/BigQuery skills.
• Solid understanding of ETL, data warehousing, and data modeling.
• Experience in data governance and quality frameworks.
• Proven track record in automation and performance optimization.
• Strong problem-solving skills in fast-paced environments.

Good-to-Have (Plus)

• Hands-on experience in Python for automation and analytics.
• Knowledge of traditional ML models.
• Exposure to procurement/sourcing or financial data domains.
• Experience in global matrix organizations.

Key Attributes

• Architectural Thinking: Ability to design sustainable data flows.
• Engineering Mindset: Focus on automation, scalability, and quality.
• Agility: Comfort with rapid prototyping, firefighting, and quick turnaround asks.
• Independence: Owns technical problems end-to-end.
• Mentorship: Guides junior team members and sets technical standards.

Value Proposition

• Opportunity to work on enterprise-scale procurement analytics with global exposure.
• A role that combines hands-on analytics, architectural design, and technical leadership.
• Scope to drive automation and engineering practices while mentoring team members.
• Visibility to senior leadership through high-impact deliverables.

You'll achieve more at HSBC 

HSBC is an equal opportunity employer 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. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role."

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