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Open nowPosted 14 days ago

CEO Assistant (intern)

neuehct/12847472 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen nowCEO Assistant (intern)neuehct/128474 · Shanghai, Chinese Mainland

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 14 days ago

The posting

Market Information Collection and Analysis • Assist in gathering global market dynamics, industry trends, and competitor intelligence; organize and analyze data to generate actionable reports. • Conduct industry research and draft analytical reports to support management decision-making. PPT Development and Presentation • Create professional, visually engaging PowerPoint presentations for internal reviews or client-facing deliverables. • Document meeting minutes and maintain systematic records to ensure accuracy and timeliness of information. Cross-Department Collaboration • Support the CEO in coordinating resources across departments, tracking project progress, and driving task execution. Product Planning • AI related Product planning • Light project execution with support from internal resources

Basic Qualifications • English proficiency (spoken and written). • Current student or recent graduate in Marketing, Data Analysis, Computer Science, AI or related fields. • Availability to intern at least 4 days per week for a minimum of 3 months. • Strong logical thinking, communication and documentation skills Core Competencies • Advanced proficiency in Microsoft Office Suite (exceptional PowerPoint design skills with expertise in data visualization). • Foundational data analysis capabilities; able to process market data using Excel or analytical tools. • Strong communication skills, cross-cultural adaptability. Preferred Qualifications • Familiar with AI tools, vibe coding (H5, APP etc.) • Hands-on experience with calling mainstream LLM / VLM APIs

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