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Clerk Jobs in Uganda
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Yalelo Uganda
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Makerere University Walter Reed Project (MUWRP)
CLOSEDData Clerk- Mukono
Mukono, Uganda
Closing: Jul 27, 2024
1 day remainingPublished: Jul 26, 2024 (1 day ago)
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Job Summary
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As a Data Clerk, your role involves ensuring accuracy and completeness of respective Yalelo Ug ERP data, conducting regular integrity checks, and promptly resolving data issues.
Requirements
• Bachelor’s degree in Statistics, engineering or any relevant discipline
• Past experience with data entry and monitoring in a fast-paced company
• Desire and willingness to learn new computer programs with speed
• Flexibility and adaptability to work within a changing environment
• Ability to respond to different demands with a sense of urgency
Responsibilities
As a Data Clerk, your role involves ensuring accuracy and completeness of respective Yalelo Ug ERP data, conducting regular integrity checks, and promptly resolving data issues.
Requirements
• Bachelor’s degree in Statistics, engineering or any relevant discipline
• Past experience with data entry and monitoring in a fast-paced company
• Desire and willingness to learn new computer programs with speed
• Flexibility and adaptability to work within a changing environment
• Ability to respond to different demands with a sense of urgency
SSOT & DATA QUALITY IMPLEMENTATION
• Ensure All Data is of high Integrity and Availability.
• All Respective ERP Data is entered in SSOT ERP system i.e., D365.
• Ensure all Fish Production Data is entered in Production SSOT i.e., Aqua manager.
• Ensuring accuracy and timeliness of data entry, completeness, and adherence to standards in ERP systems (D365, Aqua Manager).
• Conducting data integrity checks, system availability, issue resolution time & training proficiency
DIGITIZATION & PROCESS AUTOMATION
• Identify areas of process improvement through digitization & automation
• Number of Automation and Digitization Solutions Recommended and Implemented
EFFECTIVE BUSINESS PARTNERSHIP
• Understand Business Partnership needs, Help formulate Solutions and Conduct necessary knowledge exchange where applicable.
• Maximize data leverage with a focus on operational efficiency.
• Foster highly effective Data and Analytics business partnerships and provide quality data literacy training.
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