reporting and analytics lead

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 Reporting and Analytics Lead

Business:Global Operations

Principal responsibilities

• Manage a cross-functional team including business stakeholders, developers, and two strategic external suppliers.

  Set clear development priorities, performance expectations, and accountability measures for supplier teams.

  Proactively manage risks, issues, and changes in the scope, ensuring alignment with business objectives.

• Report regularly on project status, update Jira, Confluence, prepare the project plan.

  Provide mentoring and guidance to the Team members.

  Foster collaboration and accountable team culture focused on delivery excellence.

• Oversee the ingestion and transformation of data from over 800 automated feeds and multiple manual sources including SharePoint and PowerApps.

  Implement robust data validation, error handling, and reconciliation processes to ensure timely and accurate data availability. Enable trusted analytics and reporting outcomes by improving data consistency, quality, and lineage.

  Lead the transformation of fragile legacy golden source tables into scalable, modular, and distributed data platforms.

  Deliver a successful migration of billing and service performance logic to a modern SQL Server environment with improved stability and maintainability

• Drive automation and reduce manual interventions by modernising outdated transformation procedures and improving monitoring practices.

  Define and embed enterprise data standards that ensure consistency, reusability, and trust.

  Lead the transformation of legacy golden sources into scalable, distributed data platforms.

  Govern the migration of key workloads to modern SQL Server and GCP environment.

• Design and oversee modular, fault-tolerant, and scalable ETL/ELT pipelines.

  Implement robust documentation and version control practices to maintain transparency and reproducibility.

  Monitor the accuracy and reliability of data pipelines and ensure data integrity across all stages of analysis.

  Mitigate risks associated with decision-support systems through thorough validation, testing, and regular audits.

• Act as a strategic partner in gathering and refining business requirements.

  Conduct gap analysis, impact assessments, and solution design in collaboration with stakeholders and technical teams.

  Translate business need into clear documentation: BRDs, user stories, acceptance criteria, and workflows.

  Build internal capability around data standardization, automation best practices, and documentation.

• Ensure solution meet both functional and non-functional business requirements.

  Introduce Ops-wide data engineering best practices including data lineage, observability, and schema evolution.

  Establish reusable transformation frameworks with centralized logic and documentation.

  Define and embed enterprise data standards that ensure consistency, reusability, and trust.

  Drive CI/CD automation for data pipeline deployment, testing, and version control.

• Act as the bridge between business stakeholders, governance teams, and technology partners to align on data requirements and delivery priorities.

  Engage with business leaders and technical teams to ensure shared understanding of goals and priorities.

• Facilitate decision-making and alignment across various stakeholders.

  Lead workshops, presentations, and status meetings with diverse audiences.

  Influence stakeholders without direct authority and align priorities across teams and regions.

• The programme is highly complex, including: a diverse matrix, senior stakeholders, substantial work-streams.

  Managing across a wide variety of differing core processes and data technologies.

  Need to be able to work at multiple levels of the organization: senior management to ensure alignment and support for the program as well as project teams responsible for execution and delivery.