Mandatory Skills:

Degree in Business, Finance, Computer Science, or related field with at least 8 years of relevant working experience and at least 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 and written skills, 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 and knowledge in data modelling and data integration.

Experience in System Development Life Cycle (SDLC) methodology and/or Agile methodologies (like Scrum and Kanban).

A good team player with a growth mindset and the ability to work independently.

Summary:

Experience in the financial industry is preferred; otherwise, strong background in data is essential.

Focus on impact assessment, specifically the ability to trace data and identify root causes, as well as the testing part.

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.

Design, develop and execute testing to ensure solution is working per design and meet user requirements.

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.