Logistics System & Process Analyst (Chinese & English required)

Key skills: 1. ASEAN e-commerce & omnichannel marketing knowledge 2. CRM/marketing automation systems 3. Data analysis (SQL/Python) Job Responsibilities - Requirement Discovery and Analysis: Work closely with the ASEAN regional marketing team to map out the entire marketing process, identify localized business pain points, and translate them into standardized system requirements (BRD/PRD). - Cross-border Business Process Design:Design and optimize omnichannel marketing workflows and system logic tailored to ASEAN local scenarios, including integration with standalone sites, Amazon, promotional campaigns, membership operations, channel rebates, and social media advertising workflows. - Collaboration and Execution:Coordinate with the headquarters R&D team, ASEAN local business teams, and third-party partners (local payment gateways, North American marketing service providers) to ensure timely and high-quality delivery of marketing requirements. - Data Analysis and Business Insights:Monitor key metrics such as marketing conversion rates, campaign ROI, member repurchase rates, and channel distribution effectiveness, providing data-driven support for business decisions and product iterations. Job Requirements - Education and Experience:Bachelor’s degree or above, with 3-5 years or more experience in requirement analysis (BA) or product management (PM) within internet, cross-border e-commerce, or retail industries. - Domain Knowledge:Familiar with ASEAN mainstream e-commerce operations such as Amazon and standalone sites, including campaign mechanisms, marketing automation, or CRM system architecture; understanding of ASEAN channel distribution and social media marketing strategies. - Language and Cross-Cultural Communication:Proficient in English as a working language (excellent listening, speaking, reading, and writing skills), capable of independently conducting cross-timezone ASEAN meetings and producing English business documents; fluency in Chinese is a plus. - Comprehensive Skills:Strong logical thinking, documentation skills (Axure/Visio/Figma/Jira), and stress resilience; able to work across time zones and travel within ASEAN as needed. Preferred Qualifications - Experience living locally or traveling for marketing projects in major ASEAN countries such as Indonesia, Thailand, or Vietnam. - Familiarity with ASEAN marketing compliance, privacy laws, and channel distribution policies. - Proficiency in data analysis tools like SQL/Python and ability to build marketing KPI frameworks.

Key Skills: 1. End-to-end Lead-to-Cash process knowledge (CRM, contracts, AR) 2. Business requirements writing (BRD/PRD) 3. Data analysis (SQL/Python) Job Responsibilities - Requirement Discovery and Analysis:Work closely with sales, finance, and legal teams across ASEAN regions to map the entire LTC process from lead to payment, identify localized business pain points, and translate them into standardized system requirements (BRD/PRD). - Design of Cross-Border Business Processes:Design and optimize LTC business workflows and system logic tailored to Southeast Asian local scenarios, covering lead management, opportunity tracking, quotation and contracts, order fulfillment, local invoicing, payment reconciliation, and credit control. - Collaboration and Execution:Coordinate with headquarters R&D teams, local Southeast Asian business units, and third-party partners (local tax service providers, payment gateways, legal firms) to ensure timely and high-quality implementation of LTC process requirements. - Data Analysis and Business Insights:Monitor key metrics such as lead conversion rate, opportunity win rate, order fulfillment cycle, payment cycle, and bad debt rate; provide business decision support and product iteration recommendations based on data analysis. Job Requirements - Education and Experience: Bachelor’s degree or above, with 3-5 years or more experience in internet, cross-border B2B, or enterprise service industries as a Business Analyst (BA) or Product Manager (PM). - Domain Knowledge:Familiar with end-to-end LTC (lead to payment) business processes, including CRM, quotation and contracts, orders, and accounts receivable modules; understanding of Southeast Asian B2B sales models, local invoicing, and payment rules. - Language and Cross-Cultural Communication: Proficient in English as a working language (excellent listening, speaking, reading, and writing skills); fluency in Chinese preferred; knowledge of Indonesian, Thai, or Vietnamese is a plus. - Comprehensive Skills:Strong logical thinking, documentation skills (Axure/Visio/Figma/Jira), and stress resilience; able to work across time zones and travel to ASEAN countries. Preferred Qualifications - Experience living locally or traveling for LTC sales projects in major ASEAN countries such as Indonesia, Thailand, or Vietnam. - Familiarity with tax, contract compliance, and local payment rules across multiple Southeast Asian countries. - Proficiency in data analysis tools like SQL/Python and capability in sales pipeline metric modeling.

Key skills: 1. LLM & generative AI tool proficiency 2. Advanced Prompt Engineering 3. Cross-departmental training & enablement Job Responsibilities - AI Scenario Discovery and Solution Promotion: Deeply understand the real pain points of business teams across Southeast Asia regions (such as Indonesia, Thailand, Vietnam, Singapore, etc.) in marketing, supply chain, customer service, and logistics; identify high-value AI application scenarios (such as large model-generated marketing copy/images, intelligent customer service bots, AI logistics route prediction, etc.); drive internal promotion and implementation of AI tools and products. - Business Training and Enablement System Development: Responsible for empowering AI capabilities across multinational teams in Southeast Asia, developing AI tool usage standards and training courses tailored to different departments, designing best practice guides for Prompts, and improving AI tool adoption and productivity within localized teams. - AI Project Implementation and Collaborative Advancement: Coordinate with headquarters AI/algorithm teams, business analysts (BA), and local Southeast Asian business units to lead AI pilot projects (POC), validate results, and roll out full-scale deployment in the ASEAN region; monitor and enhance daily engagement and business outcomes of AI tools. - Data Feedback and Product Iteration Recommendations: Establish AI promotion effectiveness metrics (such as AI efficiency improvement percentage, generated content adoption rate, customer satisfaction increase, etc.), collect user feedback and multilingual/cross-cultural adaptation issues from local teams, and provide input to headquarters product teams for continuous AI algorithm model iteration. Job Requirements - Education and Experience: Bachelor’s degree or above, with 2–4 years or more experience in AI product operations, AI technology promotion, digital transformation project management, or internet overseas business. - AI Expertise and Application Practice: - Extensive use and familiarity with mainstream large language models (such as ChatGPT, Claude, Gemini, DeepSeek, etc.) and generative AI tools (such as Midjourney, Stable Diffusion, etc.). - Mastery of advanced Prompt Engineering skills, capable of writing and debugging efficient Prompts for various business scenarios. - Deep understanding of AI applications in marketing automation, multilingual translation, intelligent customer service, data analysis, and related fields. - Language and Cross-Cultural Communication: English as the primary working language (excellent listening, speaking, reading, writing, and training presentation skills); proficiency in Chinese preferred; knowledge of Indonesian, Thai, or Vietnamese is a plus. - Comprehensive Qualities: Strong learning agility, outstanding cross-departmental and multinational communication and collaboration skills, and the ability to “translate” complex AI technology into business language. Preferred Qualifications - Understanding of local Southeast Asian language environments and localization optimization strategies for multilingual AI models. - Hands-on experience with Low-Code/No-Code tools (such as Coze, Dify, Make, etc.) for quickly building AI workflows/agents. - Background in large enterprise digital transformation training, agile coaching, or AI project implementation management (PMO).