Work closely with stakeholders and users to understand, probe and document business requirements.
Craft detailed user journeys and use cases to illustrate how different types of users will interact with our systems and data.
Translate business requirements and user journeys into functional specifications and detailed data requirements.
Work closely with data engineers to design and implement data solutions that align with the defined user journeys and meet operational needs.
Ensure user and solution to be developed incorporate data management best practices on top of user requirements.
Conduct data analysis to ensure data quality and consistency, and to validate that the implemented solutions meet user needs.
Develop and maintain documentation, including data dictionaries, process flows, user journeys, and project plans.
Assist with data governance and data management initiatives.
Monitor system performance and work with data engineers to manage any necessary system enhancements or fixes, ensuring that changes align with the defined user journeys.
Work closely with data engineers and relevant parties to ensure sprints are planned out properly and completed timely.
Perform BAU monitoring, investigations and resolutions.
Requirements
Possess a degree in Computer Science, Information Technology, Business, Finance or related fields.
At least 8 years of relevant working experience, with minimum 5 years of hands-on experience in data management or business analyst role within investment and banking industry.
Experience crafting user journeys and use cases, and using them to guide system design and implementation.
Proficiency in SQL, Python and experience with other data analysis tools.
Excellent communication skill, with the ability to translate complex data concepts into understandable terms for non-technical stakeholders.
Strong problem-solving skill and attention to detail.
Ability to manage multiple projects simultaneously and meet deadlines.
Good at working with details and is meticulous for operations.
Good understanding on data modelling and data integration.
Experienced with SDLC methodology and/or Agile methodologies like Scrum and Kanban.
