SalaryPeak

Data Management Specialist

MALTEM ASIA PTE. LTD.
Singapore 3+ years Posted Feb 11, 2026

Salary Range

SGD 60,000 - SGD 108,000 /year

SGD 5,000 - SGD 9,000/month

Skills Required

TableauData AnalysisScrumData ManagementAgile MethodologiesAgileData IntegrationSDLCSQLRequirements AnalysisPythonVisualizationMetadataData AnalyticsVirtualization

Job Description

Maltem Asia is seeking a Data Management Specialist/Data Analyst for a Wealth Management Client based in Singapore

Summary:

Support project and data management activities in Investment Cluster - Enterprise Data Warehouse.

Skillsets Must Have:    

  • CAT-1 cleared/eligible candidate is required for this role. Possess a degree in Computer Science/Information Technology or related fields from recognized tertiary institution. 3 to 8 years of relevant experience in data management, data analysis, user/business requirements analysis and enhancement, data analytics and visualization. Preferably within investment and banking industry.
  • Good understanding of the principles, key controls and processes relating to data management as well as data modelling and data integration.
  • Good in handling dynamic project tasks in an data warehouse transformation project.
  • Good at working with details and is meticulous for operations.
  • Experience working with business intelligence/data visualization tool using Tableau and PowerBI.
  • Familiarity with data warehouse, data models, data management tools and data extraction such as SQL, Tableau, Python or R is preferred.
  •    Knowledge of using formulas/macros in Excel is advantageous.
  •    Experience in economics/finance related courses is preferred.
  •     Excellent written and verbal communication skills.
  •    Strong interpersonal and communication skills to interact with diverse stakeholders. Agile, fast learner and able to adapt to changes.
  •    Experience with the Systems Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies such as Scrum and Kanban.

  • Skillset (Good to have): Familiarity with data modelling. Familiarity with metadata tool and data virtualization tool.