Live opening · Posted 11 hours ago

Data Operations Assistan

Bei Shan Tang Foundation · United Arab Emirates (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 11 hours ago
CompanyBei Shan Tang Foundation
LocationUnited Arab Emirates (Remote)
Work modeYes
SourceLinkedin
ListedPosted 11 hours ago

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About the role

Description supplied by the original job listing.

Role Description The Data Operations Assistant is a part-time, remote role responsible for supporting the Foundation’s data-related workflows and operational processes. Day-to-day tasks include collecting, organizing, and updating records related to scholarships, programs, and partnerships, as well as maintaining data accuracy across internal systems and spreadsheets. The role involves preparing basic reports and summaries, monitoring data quality, and flagging inconsistencies for follow-up. The Data Operations Assistant will collaborate with team members via online communication tools, respond to routine data and information requests, and help streamline operational procedures to support program delivery and decision-making.
Qualifications
Strong operations skills, including experience in Operations and Operations Management to support and improve day-to-day workflows.
Solid Analytical Skills to manage datasets, validate information, and generate clear summaries or basic reports.
Effective Communication skills to collaborate with team members remotely, clarify data requirements, and present information in an organized manner.
Customer Service mindset to respond to internal and external inquiries professionally and ensure timely, accurate information sharing.
Proficiency with spreadsheets and data management tools (e.g., Excel, Google Sheets) and comfort working in a digital, remote environment.
Strong attention to detail, organizational skills, and the ability to manage multiple tasks independently.
Previous experience in non-profit, education, or scholarship administration is an advantage.
Relevant academic background or ongoing studies in fields such as data management, business administration, social sciences, or related disciplines preferred.

Work arrangement
Yes

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