Roles and Responsibilities:
- 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 in timely manner.
- Perform BAU monitoring, investigations, and resolutions.
Skillset Requirements:
- Possess a degree in Business, Finance, Computer Science, or related field with at least 4 years of hands-on experience in data management or business analyst role within investment and banking industry.
- Experience in 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, data integration.
- Experience in SDLC methodology and/or Agile methodologies like Scrum and Kanban.
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