携程Business Analyst, Marketing(MJ026752)

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

Data Analysis and Reporting:Gather, analyze, and interpret complex data sets, including market trends, supply chain resources, traffic and conversion rates, user behavior, user profiles, etc.Prepare comprehensive reports detailing findings and providing actionable insights to support market growth strategies and improve business processesSupport overseas operation teams on ad-hoc data requests and projects Performance Monitoring:Routinely monitor key performance indicators (KPIs) and other metricsCollaborate closely with HQ & Regional teams to gather necessary data and feedbackStakeholder Communication:Clearly convey findings and recommendations to regional market directors, managers, business analysts, and other stakeholders in an understandable and compelling manner Process Improvement:Identify bottlenecks and inefficiencies within the existing processes of collaboration between business analysts and cross-functional teamsDevelop standard operating procedures (SOPs) to streamline workflows between business analysts and cross-functional teamsRegularly organize and host cross-regional business analysts' communication meetingsTraining:Collaborate with the HQ BI team to conduct onboarding training for new regional business analystsDocumentation:Maintain detailed documentation of analyses, reports, and the implementations of process improvements

- Design and develop AI agents that automate workflows across product launch readiness, catalog quality management, supply chain visibility, and post-launch performance optimization - Build data pipelines and automation tools that integrate multiple data sources, enable real-time decision-making, and track key business metrics - Develop conversational AI assistant and detection systems that help business teams identify issues, prioritize actions, and improve operational efficiency at scale - Collaborate with cross-functional teams including Sourcing, Quality, Marketing, Business Management, Technology to identify automation opportunities, define use cases, and measure business impact - Continuously optimize existing automation solutions based on user feedback, operational metrics, and evolving business requirements A day in the life You'll start your day analyzing workflows and data to identify automation opportunities. You'll spend time building and testing AI agents using prompt engineering and coding tools, designing data pipelines, collaborating with business teams to refine requirements, and measuring the impact of your solutions on key metrics like launch readiness, operational efficiency, issue resolution speed, and time savings. You'll present findings to stakeholders and iterate on solutions based on feedback.

- Build data pipelines and integrate data from multiple sources; - Analyze data with scientific methodologies. Identify and quantify opportunities in product and packaging quality, manufacturing efficiency and consistency; - Design and develop AI agents to automate data analysis, opportunity identification, improvement action tacking and effectivenss evaluation; - Collaborate with cross-functional teams including Sourcing, Quality, Marketing, Business Management, Technology to identify automation opportunities, define use cases, and measure business impact - Continuously optimize existing automation solutions based on user feedback, business metrics and evolving business needs.