Diploma or Bachelor's Degree in Business Administration, Operations Management, Education, or a related discipline.
Minimum one (1) year of relevant working experience in operations, administration, customer service, or business support functions. Fresh graduates with a strong willingness to learn are encouraged to apply.
Positive attitude with a strong willingness to learn, adapt, and thrive in a fast-paced and dynamic working environment.
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Currently pursuing or recently completed a Diploma or Bachelor's Degree in Marketing, Mass Communication, Communications, Digital Marketing, Business, or a related field.
Passion for social media, content creation, and digital marketing.
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Currently pursuing or recently completed a Diploma or Bachelor's Degree in Marketing, Digital Marketing, Mass Communication, Business Administration, Multimedia, or a related field.
Internship placement of at least 3 months is preferred.
Passionate about digital marketing and social media.
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Bachelor’s Degree in Accounting, Finance, or a related field; ACCA, CPA, ICAEW, or equivalent is preferred.
Minimum 4–6 years of experience in accounting, financial reporting, finance operations, or audit; fintech, remittance, startup, or regulated financial services experience is a plus.
Hands-on experience in full-set accounts, bookkeeping, reconciliations, month-end/year-end closing, and financial reporting.
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Diploma or Degree in Marketing, Communications, Media, Business, or related fields.
1–2 years of experience in influencer marketing, talent management, or digital marketing (fresh graduates with relevant internship experience are welcome).
Strong understanding of TikTok, Instagram, and social media culture.
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Studying or graduated in Data Analytics, Data Science, Statistics, Data Engineering, Computer Science, Business, or related field — but open to other degrees if you have a keen interest in IT/AI and have built vibe-coded projects (using tools like Claude, Codex, ChatGPT, etc.)
Sound analytical thinking — able to interpret data, spot patterns, and draw logical conclusions