Skip to content
Updated How AI-exposed are the skills employers are hiring for? See the data →

From the employer's careers site First seen 8 Nov 2026

Manager, Data Analytics

The employer hasn't listed a salary.

Apply on HK Business

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.

Key responsibilities include:

  • Leading AI-driven and analytics-driven data model design, and managing the end-to-end data transformation program in partnership with multiple teams.
  • Leading 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.
  • Building and maintaining data pipelines (ETL/ELT), implementing data quality controls, and performing peer code reviews.
  • Coordinating and driving cross-market and cross-entity data design discussions to maximize reuse and data synergies.
  • Leading and/or supporting 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).
  • 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.

The technology stack provisioned in the team includes:

  • 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

For more fresh new jobs, check out yubhub.co.

Skills

Nice to have

  • Spark
  • cloud-native data ETL development
  • unstructured data handling

Ready to apply?

You apply with the employer directly. Their original posting is here: https://portal.careers.hsbc.com/careers/job/563774611861244

Apply on HK Business