Data & Acquisition

• Manage relationship with Data Providers
• Manage Input File Formats
• Train Data Providers on Input File Formats and associated tools
• Ensure all Data Providers submit data
• Ensure all Data Providers receive feedback on submitted data
• Report status on Data Acquisition to Senior Management

Data Load Management

• Ensure all data submitted by Data Providers are processed by the system
• Resolve incidents that occur during data processing
• Report status on Data Loading to Senior Management

Data Quality Management

• Assess data quality for all data submitted by Data Providers
• Ensure data quality exceptions are reported to Data Providers
• Analyse data quality issues and trends
• Strategise data quality enhancements
• Work with Data Providers to improve data quality
• Report status on Data Quality to Senior Management

Data Management

• Track all data disputes raised (registration to closure)
• Coordinate with Data Providers on resolution of data disputes within SLA
• Coordinate with Subjects on resolution of data disputes
• Design and implement Data Management initiatives (deduplication, archival, etc.,)
• Report status on Data Management to Senior Management

Business Application Management

•  Manage Business Applications to achieve various Data Operation deliverables 
• Administer Configuration Management for optimal Data Operations
• Track issue resolution on incidents pertinent to Business Applications
• Raise changes that are required in Business Applications to keep up with the operational needs
• Coordinate with Service Desk for optimal deliverables with good quality and shorter timeliness
• Report status on Business Applications and tickets to Senior Management

Team Management

• Train staff on overall data operations
• Allocate roles, responsibilities, deliverables and timelines
• Monitor team performance and amend approach were required
• Report status on Team Performance to Senior Management

BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred

• Great attitude

•   Ability to learn fast

• Ability to plan ahead

•  People & Task Management

•  Very good spoken and written communication skills

•  Intermediate user of computer and computing concepts

•  Well verse in Microsoft Office

•  Ability to write SQL statements(DML, DCL and TCL)

•  Using advanced functionalities in MS Excel (like PIVOT, Charting, Data Tools, Connecting to

  external data)