Data Management & Analytics Specialist

RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS); Singapore; On-site; SGD 70,000 - 120,000; Part time

Job summary

RiDiK (a subsidiary of CLPS) is seeking a Data Management Specialist/Data Analyst on a contract basis (12 months, potential extension) in Singapore. The role focuses on data management, analytics, and BI tool usage to support enterprise data warehouse initiatives.

The ideal candidate has 5–8 years’ data experience, proficiency in Tableau/Power BI, SQL, Python or R, and strong communication to interact with diverse stakeholders in a fast-paced environment.

Qualifications

• 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.
• Good understanding of the principles, key controls and processes relating to data management as well as data modelling and data integration.
• Experience with SDLC/Agile methodologies (Scrum/Kanban).
• Experience with BI tools Tableau and Power BI and data visualization.

Responsibilities

• Support project and data management activities in Investment Cluster - Enterprise Data Warehouse.
• Handle data analysis and requirements gathering with stakeholders.
• Assist in data modelling, data integration and metadata practices.
• Work with Excel formulas/macros to optimize data tasks.
• Collaborate in an agile, fast-learning environment to deliver solutions.

Skills

Data management

Data analysis

Requirements analysis

Tableau

Power BI

SQL

Python

R

Excel macros

Education

Degree in CS/IT

Tools

Tableau

Power BI

SQL

Python

R

Excel

Job description

RiDiK (a subsidiary of CLPS) is seeking a Data Management Specialist/Data Analyst on a contract basis (12 months, potential extension) in Singapore. The role focuses on data management, analytics, and BI tool usage to support enterprise data warehouse initiatives.

The ideal candidate has 5–8 years’ data experience, proficiency in Tableau/Power BI, SQL, Python or R, and strong communication to interact with diverse stakeholders in a fast-paced environment.