美团Business Analytics Expert

1. Training Development: · Analyze data skill gaps of the business analysts, product growth staff, and CRM operation staff in the Regional Marketing team based on company strategy and departmental needs. · Design and implement customized data training programs, including onboarding and professional skill enhancement. · Develop data training courses, streamline internal processes and products, and enhance team capabilities by incorporating industry characteristics and data operation scenarios. · Organize global online and offline data training events, track training effectiveness, and optimize for continuous improvement to ensure successful implementation of training outcomes. · Establish a departmental knowledge management system to facilitate experience accumulation and sharing. 2. Global Operations Data Knowledge Base Management: · Develop and implement the framework for the knowledge base on data operations. · Coordinate with internal and cross-team members to integrate and manage content projects. · Maintain and operate the knowledge base to ensure its relevance and accessibility. 3. Data Access Management: · Formulate guidelines for data access management for the Global Operations team. · Collaborate with various business units to manage data products and permissions. · Ensure compliance with data access protocols and facilitate smooth data operations. 4. Project Management: · Participate in and understand the full-cycle management of key projects within the Global Business Analyst team, such as data operations and cross-departmental collaboration projects. · Coordinate and drive efficient collaboration within the team and across teams to ensure timely and high-quality achievement of objectives. · Identify risks and issues during project execution, optimize project management processes and tools, and promote standardized management. 5. Communication and Meeting Management: · Organize and manage regular communication meetings within the global and regional BA team to ensure alignment on objectives, strategies, and project updates. · Facilitate effective communication between team members and other stakeholders to enhance collaboration and information sharing. · Prepare agendas, document meeting minutes, and follow up on action items to ensure accountability and progress tracking.

• 3+ years of experiences in a data science role - preferably in the digital advertising industry, as a data scientist, consultant or business analytics professional. • Programming skills in Python and SQL, comfortable with advanced analytics tools such as R, Spark, and Tableau • Experience with in-person client interactions, specifically senior-level executives, and knowledge to also work with business intelligence and data science experts • Ability to communicate and distill information from large data sets and results into simple concepts and actionable insights for a variety of audiences, such as business and leadership teams, to influence sales and marketing strategy • Deep knowledge of advanced analytical techniques and statistical methods, including regression, classification, clustering, etc. • A strong passion for business intelligence and analytics with the ability to work closely with the business teams, understand business requirements, and manage complex projects related to data-driven initiatives

We are seeking a highly skilled Website Product Manager with expertise in website design and optimization, as well as technical program management. The ideal candidate will have a minimum of 8 years of experience managing and optimizing large-scale websites for international audiences. In this role, you will be responsible for designing, testing, and implementing strategies to improve the usability, functionality, and performance of Alibaba Cloud's international website, while collaborating closely with cross-functional teams to ensure timely execution of initiatives. You are passionate about our mission to build an innovative website that advances business goals and delivers exceptional user experiences. 1. Website Redesign & Optimization: ● Lead the redesign and continuous improvement of Alibaba Cloud's international website, ensuring it aligns with global brand standards and user expectations. ● Identify pain points and opportunities via competitive analysis, user research and operational data analysis, and propose optimization strategies (e.g., navigation redesign, form simplification, search experience improvements). ● Design and execute A/B tests to validate feature improvements (e.g., conversion rate increase, bounce rate reduction). 2. Project Management: ● Own the lifecycle of website functionalities, from requirement gathering to development, testing, and post-launch iteration by closely work with development team. ● Leverage strong communication skills to coordinate cross-functional teams (design, marketing, operations, legal) and ensure projects are delivered on time and to high quality standards. ● Maintain transparency through regular meetings, emails, or reports, ensuring alignment with leadership and cross-team objectives. 3. AI-Powered Website Enhancements: ● Leverage AI technologies to enhance website functionality, such as chatbots, recommendation engines, and dynamic content delivery. ● Collaborate with AI and engineering teams to integrate advanced features like predictive analytics, personalized recommendations, and automated workflows. 4. Performance Monitoring & Analytics: ● Use tools like Google Analytics or similar platforms to monitor website performance and user behavior. ● Track KPIs such as traffic, engagement, conversion rates, and customer satisfaction, providing actionable insights to stakeholders. ● Continuously iterate on the website based on data-driven findings to improve overall performance.

• You will develop relationships with key customer IT and business decision makers, to understand their data estate, priorities, and success measures, and design secure, scalable Data & AI solutions that deliver measurable business value.  • You will understand customers’ overall data estate Business and IT priorities and success measures to design Data & Analytics solutions that drive business value and drive positive Customer Satisfaction & become a trusted advisor.   • You will ensure that solution exhibits high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment and provide feedback and insights from customers/partners.  • You will develop opportunities to drive Customer Success business results & help Customers get value from their Microsoft investments and identify resolutions to Customer blockers by leveraging subject matter expertise. Deliver according to MS best practices & using repeatable Intellectual Property (IP).  • You will apply technical knowledge to architect and design solutions that meet business and IT needs, create Data & Analytics roadmaps, drive Proof of Concepts (POC) and Minimal Viable Product (MVP), and ensure long term technical viability of new deployments, infusing key AI technologies where appropriate.  • You will maintain technical skills and knowledge, keep up to date with market trends and competitive insights; collaborate and share with the AI technical community while educating customers on Azure platform.  • You will accelerate customer outcomes - Share expertise, contribute to IP creation & re-use to accelerate customer outcomes and obtain relevant accreditations and certifications. Proactively identify gaps through delivery and communicating those gaps to others (e.g., Leadership, managed intellectual property [MIP], Design, and Governance). Applies subject matter expertise to develop new IP that fills identified gaps  • Drive Azure consumption through accurate and complete Azure Consumption Plans and support Unified/Factory delivery models. • Lead technical workshops, build MVPs, and guide customers through production deployments. • Collaborate with internal teams to remove blockers and share customer feedback. • Evangelize Azure technologies within customer, partner, and community ecosystems. • Own the end-to-end technical delivery results, ensuring completeness and accuracy of consumption and customer success plans in collaboration with the Customer Success Account Managers.  • Provide delivery oversight and escalation support for key consumption engagements across Data & Analytics workloads.  • Drive technical excellence by leading the health, resiliency, security, and optimization of mission-critical data workloads, ensuring readiness for production-scale AI use cases.  • You will identify resolutions to issues blocking go-live of migration and modernization projects by leveraging Azure Infrastructure technical subject matter expertise and lead technical conversations with customers to drive value from their Microsoft investments and deliver all work according to MS best practices and policies.  • You will demonstrate a self-learner mindset through continuous alignment of individual skilling to team/area demands and Customer Success goals as you accelerate customer outcomes and engage in relevant communities to share expertise, contribute to IP creation, prioritize IP reuse and learn from others to help accelerate your customers transformation journey.  • Be accredited and certified to deliver with advanced and expert-level proficiency in priority workloads including Microsoft Fabric, Azure Databricks, Microsoft Purview, Azure SQL, PostgreSQL, MySQL, and Cosmos DB.  Technical leadership  • Design the solution using your Data Platform technical knowledge, architectural approach, consultancy skills and our methodology to win a customer’s technical decision and meet the customer’s needs; drive proof of concepts (POCs)/production deployments to create momentum for MVPs, infusing key AI technologies where appropriate and being technically proficient to do POC with hands-on-skills.   • Data Platform technologies, including SQL Server, Azure SQL Database, and Azure Cosmos DB, as well as Analytics, Data Warehousing, and Data Engineering scenarios. Focus on Intelligent Data and Analytics Platforms such as Synapse, Lakehouse architecture, Fabric, Azure Databricks, and Power BI. Stay informed on market trends and competitive insights and actively collaborate and share knowledge within the Data & AI technical community.  • Experience in Azure architecture design, Azure IaaS, Azure SQL Database, Azure SQL Managed Instance, High Availability, service resilience and distributed systems.  • Experience as a Database Administrator, data platform design, SQL Server at scale, on-premises to Azure migrations, complex SQL Server troubleshooting, performance tuning and optimization, scaling OLTP and OLAP workloads, and securing SQL Server on-premises or in Azure   • Experience with High Availability/Disaster Recovery solutions such as Failover Clustering, Database Mirroring, Always-On Availability Groups, and Replication   • Use trace analysis, debug skills, source code, and other proprietary tools, to analyse problems and develop solutions to meet customer needs; this may involve writing code   • Consultative experience along with presentation skills with a high degree of comfort with both large and small audiences  • Learns to identify and communicate areas in intellectual property (IP) that need refreshing or have gaps. Contributes to IP development with guidance/supervision.  • Demonstrates strong industry knowledge and increases recognition for Microsoft solutions by contributing to and sometimes leading presentations and engagements with external and internal audiences (e.g., Tech Connect, Build, Ignite)