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RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS)

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AI/ML Engineer (Agentic AI & Data Science)

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Summary

Contract (12 months, extendable) data management specialist/data analyst role in Singapore supporting an Investment Cluster Enterprise Data Warehouse project, preferably with banking/investment background. Day-to-day covers data management, modelling, integration, requirements analysis and BI dashboards using Tableau, PowerBI, SQL and Python/R.

Job Title: - Data Management Specialist/Data Analyst

Job Type- Contract to start with 12 months with extension

Details

  • Possess a degree in Computer Science/Information Technology or related fields from recognized tertiary institution.
  • 5 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.
  • Good team player, with strong analytical skill and enjoy complex problem solving.
  • Experience with the Systems Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies such as Scrum and Kanban.
  • Familiarity with data modelling.
  • Familiarity with metadata tool and data virtualization tool.
  • Support project and data management activities in Investment Cluster - Enterprise Data Warehouse

Skills

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See also

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