Business Analyst

Maltem Singapore is currently seeking a Business Analyst for our Wealth Management Client.

Summary :

• The candidate will be supporting the Investment (Public Market) project for Data Strategy Group.
  

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 solutions to be developed by incorporating data management's 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.
  
• Provide training and support to users of the Data systems, using the user journeys to help them to understand how to use the systems effectively.
  
• Monitor system performance and work with data engineers to manage any necessary system enhancements or fixes, and 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.
  

Skill Requirements :

• Bachelor degree in Business, Finance, Computer Science, or related field with at least 8 years of relevant IT work experience, including minimum 5 years of hands-on experience in Data Management or Business Analyst role within Investment &
  Banking industry.
  
• Experience in crafting User Journeys and use cases, and using them to guide System Design and implementation.
  
• Proficient in SQL, Python and experience with other data analysis tools.
  
• Excellent communication skills, with the ability to translate complex data concepts into understandable terms for non-technical stakeholders.
  
• Ability to manage multiple projects simultaneously and meet deadlines.
  
• Good understanding on data modelling and data integration.
  
• Experience in SDLC (System Development Life Cycle) and/or Agile methodologies, such as Scrum and Kanban.