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Manager, Data Analytics

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Description

We are currently seeking a high calibre professional to join our team as a Manager, Data Analytics.

In this role you will:

  • Serve as the “go-to” person within the Data & Analytics organization in HSBC Retail Banking & Wealth for banking data requests from business stakeholders.
  • Lead AI-driven and analytics-driven data model design, and manage the end-to-end data transformation program in partnership with multiple teams.
  • Lead the DataOps transformation to enable self-serve, high-performant data ETL for both ad-hoc analytical purposes and real-time large Machine Learning / AI model inference.
  • Build and maintain data pipelines (ETL/ELT), implement data quality controls, and perform peer code reviews.
  • Coordinate and drive cross-market and cross-entity data design discussions to maximize reuse and data synergies.
    Lead and/or support data analysis and business insights generation.

To be successful you will need:

  • 5+ years’ experience in data-related roles within a financial institution (banking experience strongly preferred).
  • Strong proficiency in SQL, Python, PostgreSQL, and cloud-native data pipeline automation tools (e.g., Airflow, BigQuery). Spark experience is a plus.
  • Demonstrated experience delivering large-scale data projects or data products using modern engineering practices and tooling (e.g., data pipelines and/or CI/CD workflows).
  • Experience designing and developing high-performance solutions for extremely large-scale data processing, storage, and wrangling, ideally including real-time workloads.
  • Solid understanding of DevOps, DataOps, and/or MLOps principles.
  • Cloud-native data ETL development is preferred
  • Experience handling unstructured data is an advantage.

Technology Stack

  • Technology stack provisioned in the team including:
    • Languages: SQL, Python, Java, JavaScript
    • IDE: Visual Studio Code, PyCharm, IntelliJ
    • Platforms and Services: Managed Service for Apache Spark, Apache Airflow
    • CI/CD: Jenkins, Terraform
    • Data warehouse: BigQuery, PostgreSQL, Redshift, Snowflake
    • AI: GitHub Copilot, HSBC Productivity Suite

Skills

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See also

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