Business Planning Assistant Manager (data Strategy/japanese Speaking) - Ck
PASONA SINGAPORE PTE. LTD.
Singapore, Singapore, Singapore
Base: up to $8,500; bonus/equity: bonus; benefits:...
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Data analysis across markets and media
Strong japanese language skills
Cross-functional team collaboration
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Pasona Singapore Pte. Ltd. is seeking a Business Planning Assistant Manager with expertise in data analysis and strategy, particularly for Japanese-speaking candidates. The role involves analyzing data to inform business strategies in the Southeast Asian market, requiring strong analytical skills and experience in marketing or product strategy.
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Job Summary
The role involves consolidating multi-country data to identify regional trends and support Southeast Asia-wide strategy development.
Candidates will prepare materials and presentations in Japanese for internal meetings and executive briefings with Japan HQ counterparts.
The position supports product launch procedures and contributes to initiatives aimed at expanding user engagement and commercial activity on company platforms.
Matching Summary
Match Score: 75
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Pasona Singapore Pte. Ltd. is seeking a Business Planning Assistant Manager with expertise in data analysis and strategy, particularly for Japanese-speaking candidates. The role involves analyzing data to inform business strategies in the Southeast Asian market, requiring strong analytical skills and experience in marketing or product strategy.
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Salary
Base: up to $8,500; Bonus/Equity: bonus; Benefits: Not specified
Skills & Requirements
Must-have
Data analysis across markets and media
Strong Japanese language skills
Cross-functional team collaboration
Data-driven marketing strategy
Presentation preparation in Japanese
Product launch support
Nice-to-have
Experience in IP commercialization
Familiarity with SQL, Python, Tableau, Excel
Regional trend identification
Platform growth initiatives
Key Requirements
Bachelor’s degree in any discipline
More than 5 years experience in data analysis or marketing
Strong analytical skills with cross-sectional data experience