Data Analytics

Join HSBC and stand out in your career.

HSBC offers opportunities, support and rewards that will take you further, whether you want a career that could take you to the top or simply take you in an exciting new direction.

As a Data Analytics professional, you will drive Management Information/reporting simplification for Wholesale, Commercial Banking and Global Banking, reducing reporting deduplication, developing automation and simplification solutions using technical tools and practices.

The role holder will be an evangelist for "reduce, reuse, simplify, and automate" for MI and reporting, working with senior stakeholders globally to improve the efficiency and effectiveness of the data flow.

Responsibilities:
• Convert initial simplification scopes into detailed design documentation & technical specifications
• Lead gap-analysis activities within Simplification, proposing methods and ideas to reduce complexity and errors in reporting
• Build repeatable techniques to identify opportunities for automating or simplifying reporting/MI activities
• Work with developers to execute solution designs into outcomes, including building new reporting/MI solutions on platforms such as Qlik, Looker and Python based tools
• Supervise the development, testing and validation of Simplification solutions
• Support ongoing engagement with stakeholders, business analysts and system owners to understand and deliver simplification initiatives
• Act as a champion for MI and reporting simplification within HSBC
• Take ownership of all risks, issues and strategic choices relating to simplification tasks under their control
• Develop junior staff to expand the capability and capacity of the simplification team

Requirements:
• Strong background in data/business analytics in the financial or digital domains
• Proven capability in developing technical business analysis artefacts functional/non-functional requirements, data lineage etc
• Experience in business process mapping and data flow mapping
• Demonstrated experience in automation tooling, such as Python
• Experience in agile software development and tools such as JIRA, Confluence
• Strong business acumen with high ability to diagnose and articulate business problems, translate these into data and analytics requirements, and then recommend solutions for adoption
• Strong problem solving and analytics product management skills
• Highly self-motivated, self-starter. Strive for change and able to lead and mentor junior members
• Experience in delivering requirements for analytics or simplification related projects
• Demonstrated experience in process and analysis of large amount of data using one of these: Python, R, SQL or SAS; on environments such as Google Cloud or Hadoop
• Familiar with relational databases such as SAS, Oracle, Teradata
• Relevant Project Management or Agile Certifications such as Certified Scrum Master etc