IT Project Specalist

Open 30d

Main Responsibilities:

User Acceptance Testing (50%): Coordinate and conduct UAT to validate system functionality and ensure it meets user requirements, including test scenario & script creation.
Data Migration (30%): Execute manual data migration tasks, ensuring accuracy and completeness of data transfer between systems.
Data Reconciliation (10%): Perform data reconciliation to ensure data consistency and accuracy across different systems.
Data Cleansing (10%): Identify and rectify data inconsistencies, duplicates, and errors to maintain data integrity.

Skills and Qualifications:

Methodical: Strong attention to detail and a systematic approach to problem-solving.
Self-Starter: Ability to work independently, manage time effectively, and take initiative.
Analytical: Excellent analytical skills to interpret data and identify trends or issues.
Technical Proficiency: Proficient in data management tools and software.
Communication: Strong verbal and written communication skills to collaborate with team members and stakeholders.
Experience: Previous experience in UAT, data migration, and data reconciliation is favored. Banking domain knowledge is a pre-requisite. Corporate banking product knowledge is preferable (but not essential).

Main Responsibilities:

User Acceptance Testing (50%): Coordinate and conduct UAT to validate system functionality and ensure it meets user requirements, including test scenario & script creation.
Data Migration (30%): Execute manual data migration tasks, ensuring accuracy and completeness of data transfer between systems.
Data Reconciliation (10%): Perform data reconciliation to ensure data consistency and accuracy across different systems.
Data Cleansing (10%): Identify and rectify data inconsistencies, duplicates, and errors to maintain data integrity.

Skills and Qualifications:

Methodical: Strong attention to detail and a systematic approach to problem-solving.
Self-Starter: Ability to work independently, manage time effectively, and take initiative.
Analytical: Excellent analytical skills to interpret data and identify trends or issues.
Technical Proficiency: Proficient in data management tools and software.
Communication: Strong verbal and written communication skills to collaborate with team members and stakeholders.
Experience: Previous experience in UAT, data migration, and data reconciliation is favored. Banking domain knowledge is a pre-requisite. Corporate banking product knowledge is preferable (but not essential).