# Manager, Data Analytics

**Company**: HK Business
**Location**: Kowloon City, Kowloon
**Experience**: senior
**Job type**: full-time
**Category**: Data Science
**Industry**: Finance

**Apply**: https://portal.careers.hsbc.com/careers/job/563774611861244?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_da071639-4ce

## 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

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## Skills

### Required
- SQL
- Python
- PostgreSQL
- Airflow
- BigQuery
- DevOps
- DataOps
- MLOps

### Nice to have
- Spark
- cloud-native data ETL development
- unstructured data handling

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Source: [Apply at portal.careers.hsbc.com](https://portal.careers.hsbc.com/careers/job/563774611861244?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)