Data Simplification Specialist
1 week ago
We are seeking a high-calibre professional to join our team as a Data Simplification Specialist.
About the RoleThis role will be responsible for driving Management Information/reporting simplification for Wholesale, Commercial Banking and Global Banking. The primary focus will be to reduce reporting deduplication, develop automation and simplification solutions using a variety of technical tools and practices.
Key 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
- Strong background in data/business analytics in the financial or digital domains. Or similar experience in analytics consulting or managing digital products
- 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
Estimated salary: $120,000 - $180,000 per year, depending on location and experience.
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