Business Analyst

U3 SOLUTIONS PTE. LTD.

Singapore

On-site

SGD 90,000 - 120,000

Full time

8 days ago

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Job summary

U3 SOLUTIONS PTE. LTD. seeks a data/business analyst to translate business requirements into functional specifications and detailed data requirements, designing data solutions that support user journeys.

You will collaborate with data engineers, perform data quality analysis, document data dictionaries, and help govern data while delivering analytics projects in the investment banking context. The role requires communicating complex data concepts to non‑technical stakeholders, maintaining

Qualifications

  • Degree in Business, Finance, CS or related field with 4+ years in data management or BA within investment/banking industries.
  • Ability to craft user journeys and use cases to guide system design and implementation.
  • Proficient in SQL, Python and other data analysis tools.

Responsibilities

  • Understand, probe, and document business requirements with stakeholders.
  • Craft detailed user journeys and use cases to illustrate interactions with systems and data.
  • Translate requirements into functional specs and detailed data requirements.
  • Collaborate with data engineers to design and implement data solutions aligned with user journeys.
  • Ensure data management best practices are incorporated into solutions.
  • Conduct data analysis to verify data quality and solution alignment with user needs.
  • Develop and maintain data dictionaries, process flows, and project plans.
  • Support data governance and data management initiatives.
  • Monitor system performance and coordinate with data engineers for enhancements or fixes.
  • Plan and track sprints with relevant teams to ensure timely delivery.
  • Perform BAU monitoring, investigations, and resolutions.

Skills

SQL
Python
Data analysis
User journeys
Stakeholder comms
Problem solving
Multitasking
Data modelling
SDLC/Agile

Education

Degree in Business/Finance/CS

Job description

  • 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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