亚马逊Business Analyst-Automation Solution, Amazon Global Store

Data Warehouse Design, Development, Maintenance and Optimization: Architect, build and manage secure, flexible and scalable data warehouse solutions. Ensure the iterations adapt to the ever-changing global technology and new business demand. Performance Optimization: Write complex and efficient SQL queries for data manipulation, transformation, and aggregation. Optimize SQL queries to improve performance and efficiency. ETL Process Management: Design, implement, and maintain ETL (Extract, Transform, Load) processes. Ensure accurate and efficient data integration from various sources into the data warehouse and the optimal model to fit downstream usage. Data Quality and Governance: Implement data quality checks, balances, and controls to ensure the accuracy and integrity of data within the data warehouse. Co-work with Risk Control Management Team to ensure the optimal data quality and compliance. Collaboration and Support: Work closely with Global Team to ensure the data foundation is consistent with global standards and adapted to the latest technology; Co-work with other business analyst, business intelligence engineer, and other stakeholders to run the data foundation ecosystem and translate data needs to robust data solutions Continuous Improvement: Stay informed of industry trends and advancements in AWS based technologies. Recommend and implement improvements to processes and technologies to enhance data warehouse functionality and efficiency.

• Define and deliver large-scale BI solutions, including data modeling, KPI standardization, and pipeline automation. • Lead migration of legacy reporting into modern AWS QuickSight and other BI platforms. • Establish and maintain data foundations for social and marketing data, ensuring completeness, accuracy, and compliance. • Conduct advanced analytics, including user behavior modeling, segmentation, and marketing campaign measurement. • Generate actionable insights and recommendations to improve seller journeys, marketing effectiveness, and AI agent performance. • Collaborate with marketing operation team, data engineers, product managers, SDEs, financial analysts, and data scientists to design metrics and guide business decisions. • Drive best practices in operational excellence, data quality management, and data governance. A day in the life You will define marketing BI strategy, build scalable data models and generate actionable insights that drive product, marketing, and AI initiatives. You will partner with data engineering, product, and science teams to ensure high-quality, compliant, and scalable data foundations. Your work will directly influence AI-powered agents, seller engagement, and business growth.

Your Responsibilities As an Operations Manager at Didi ANZ, you will play a pivotal role in driving pricing strategy and enhancing customer experience to ensure sustainable growth and competitive advantage. Your key responsibilities include: Lead Pricing Strategy & Execution : - Own end-to-end pricing decisions, including dynamic price adjustments, surge pricing models, and promotional campaigns. - Conduct deep-dive analytics to evaluate pricing effectiveness, elasticity, and ROI, ensuring alignment with business goals. - Collaborate with BI, Product and other teams to design and implement scalable pricing frameworks. Market & Competitive Analysis : - Monitor market trends, competitor pricing, and regulatory changes to inform strategic adjustments. - Develop segmentation strategies based on city dynamics, user behavior, and demand patterns. Customer Experience and Cross-Functional Collaboration: - Identify core user pain-points and work closely with regional and global teams to craft effective solutions using a wide range of levers. - Present actionable insights and recommendations to senior stakeholders, driving data-backed decisions.

You will be responsible for one of the following areas: Order Fulfillment: Coordinate sales forecasts with order entry; optimize supply resource allocation; manage order commitments, demand changes, and logistics shipments; resolve supply exceptions. Supply Planning: Evaluate market demand and project progress; develop production and delivery plans; identify material supply risks to ensure readiness and on-time delivery. Procurement Execution: Place purchase orders and track supplier schedules; identify delivery risks and close supply-demand gaps. Logistics Management: Design and implement logistics solutions; optimize international logistics networks and warehouse layouts to improve efficiency. Customs Compliance: Coordinate with internal teams and customs brokers; adjust trade strategies to enhance operational efficiency and compliance. Regional Supply Chain Management: Oversee production allocation and demand fulfillment in overseas markets; manage inventory turnover and logistics networks, bridging global supply chain and regional operations.