希音Advanced Business Analyst

1. Analyze market and business data to identify key challenges and growth opportunities. Translate findings into comprehensive reports, providing actionable insights and strategic recommendations to guide marketing initiatives and drive sustainable business growth across global markets. 2. Conduct in-depth analysis of demand and supply by integrating external market data with internal inventory data for key products like flights and hotels. Develop dynamic solutions to generate critical insights, optimizing resource allocation and channel matching to maximize inventory value and utilization. 3. Design, implement, and iterate on bidding strategies for major performance marketing channels. Utilize data-driven analysis and dynamic optimization techniques to improve traffic and inventory utilization efficiency, and ultimately drive business growth. 4. Collaborate closely with cross-functional teams, including Marketing channels, Product lines, and BI, to gain a deep understanding of the entire business landscape. Leverage a marketing perspective to translate data insights into influential recommendations that drive business impact. 5. Own and manage the application-layer data infrastructure supporting your strategic analyses. This includes maintaining data sources, building basic data pipelines, and developing dashboards and monitoring systems. Ensure data quality, accuracy, and integrity to provide a reliable foundation for analytical outputs.

Position Overview Focus on end-to-end management of business operations data, leading the cleansing and alignment of multi-source business data (user behavior, product metrics, channel effectiveness, etc.) with financial data to build a structured foundational data system. Provide quantitative support for operational strategy optimization through in-depth analysis of business actions and data characteristics. Core Responsibilities Business-Finance Data Integration & Cleansing ꔷ Develop standardized rules for business data, perform cross-system data cleansing (e.g., user growth, order transactions), mapping, and structured storage. ꔷ Design business data flow diagrams, establish unified naming conventions and operational standards to enable efficient data retrieval. Business Analysis Support ꔷ Build data analysis models (e.g., ROI, user segmentation/persona) aligned with business objectives, and deliver actionable insights for operational strategy improvement. ꔷ Monitor core business metrics (e.g., conversion rate, retention rate), and produce periodic root-cause analysis reports on data fluctuations. Cross-Department Collaboration ꔷ Collaborate with finance teams to calibrate business data, translating operational actions (e.g., promotions) into quantifiable revenue/cost impacts. ꔷ Partner with product and marketing teams to design data tracking solutions, ensuring comprehensive data collection.

Amazon strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. To serve the goal, Amazon has created one of the most advanced fulfillment and logistic networks in the world. Amazon Global Logistics in China is a team of highly experienced logistics professionals, product & program manager and carrier specialists actively participating in Amazon's international expansion goals. We are seeking some highly motivated individuals who are interested in improving the way products are bought, sold, and distributed on a global scale to join us in China. Scope of Work: 1. Provide comprehensive support for team reporting preparation and analysis 2. Execute SQL queries and database operations to retrieve and manage team data requirements 3. Perform thorough data validation to maintain accuracy, integrity, and consistency across all datasets 4. Handle essential administrative tasks and day-to-day operational support

1. Build up reporting of marketing performance across channels, both organic and paid, including cost, orders, ROI and other performance metrics for business needs. 2. Work closely with Product & Tech, product lines and BI team, understand data within each business funnels, identify issues and propose solutions. 3. To monitor and re-shape attribution to help with smarter marketing investment 4. To deep dive internal data as well as external partner data to generate market insights of all different markets across globe, to guide marketing activities and strategies 5. To analyze user and order features and patterns, help evaluate channel values and growth potentials for business decisions. 6. Manage the data source, build up the monitoring and analytical system of the whole business, and ensure the quality of the result