美团Analytics and performance Expert
任职要求
Requirements and Qualifications Education: Bachelor's degree in a quantitative field such as Data Science, Statistics, Business, Engineering, or a related discipline. Experience: Proven experience in a data analytics, business intelligence, or performance management role, with direct exposure to procurement or operations. Technical Skills: Proficiency in data visualization tools like Power BI or similar. Strong knowledge of SQL for data extraction and manipulation. Familiarity with data processing, ETL (Extract, Transform, Load) pipelines, and data warehou…
工作职责
Position Summary We are seeking a highly skilled and strategic Analytics & Performance Expert to oversee data management, visualization, and performance tracking for a specific business area or operation. The ideal candidate will be responsible for leveraging data to provide actionable insights and drive performance improvement within the procurement and operations functions. This role requires a strong analytical mindset, expertise in data visualization tools, and the ability to translate complex data into clear, impactful recommendations for business stakeholders. Key Responsibilities Data Management & Governance: Manage the collection, cleaning, and validation of data from various sources (e.g., ERP systems, procurement platforms, logistics tools) to ensure accuracy and integrity. Performance Tracking & Analysis: Develop and maintain a comprehensive set of Key Performance Indicators (KPIs) to monitor the health and performance of the assigned business area, with a focus on procurement and operations. Reporting & Visualization: Design, build, and maintain interactive dashboards and reports using data visualization tools. Create compelling visualizations that clearly communicate performance trends, insights, and improvement opportunities to stakeholders. Insight Generation: Proactively analyze data to identify patterns, root causes of performance issues, and opportunities for process optimization and cost savings. Strategic Collaboration: Partner with procurement and operations teams to understand their business needs, translate them into analytical requirements, and provide data-driven insights to inform decision-making. Driving Improvement: Work closely with business teams to implement action plans based on data analysis and track the impact of performance improvement initiatives. Stakeholder Communication: Present complex analytical findings and recommendations in a clear, concise, and engaging manner to both technical and non-technical audiences, including senior management. Process Enhancement: Identify and recommend opportunities for optimizing data collection, processing, and reporting processes to enhance efficiency and effectiveness.
阿里巴巴国际数字商业 (AIDC) 商业智能部招聘 公司&部门介绍 阿里国际数字商业集团（AIDC），是阿里巴巴集团的核心且快速增长的业务。 契合国家“一带一路”的战略方向，在国际化的大蓝海赛道上高速驰骋，连续多年收入增长在30%以上。旗下业务覆盖近200个国家、市场，服务于4亿的全球消费者，囊括跨境电商、本地电商、B2B、O2O零售、供应链网络等多元化的业务形态，在全球近30个国家与地区设置办公地点，拥有超过20种不同国籍的员工。 商业智能部是AIDC的商业分析与决策支持部门，我们依托于AIDC的全球化大数据以及阿里多年的商业分析经验沉淀，拥有来自于互联网、咨询、投资、传统行业等多元化背景的团队，产生多视角、全方位的立体洞察，支持集团以及各事业部与职能部门管理者的关键决策。 我们深入业务，通过有智慧的数据洞察， 紧密结合的业务场景，实现从宏观市场到微观战术的商业分析与判断，为决策层提供关键数据洞察、核心策略参考、支持主要的各项决策制定与优化，达到数据驱动业务的完美实践。 Team and Role Introduction: Working under AIDC BI family, this role is BI analyst supporting E-commerce Platform Miravia. Responsibilities: Key tasks and responsibilities: • Collect, clean, and maintain user data from various sources including marketing platforms, mobile app, web analytics etc. • Be the expert in using data to measure and analyze business performance in each our markets and lines of business. • Collaborate with product managers, marketing teams, and other stakeholders to identify areas of opportunity for improving user growth and engagement. • Lead new data analytics capability rollouts and/or data-led initiatives throughout Arise Project • Analyze user behavior data to identify trends, patterns, and insights that can be used to improve user engagement, retention and acquisition. • Design market/business intelligence reports and performance measurement dashboards to share with senior management• Perform ad-hoc business analysis, to drill down on certain business challenges, providing conclusions and advice based on data analysis. • Monitor and evaluate the effectiveness of user growth initiatives and make recommendations for optimization and improvement.
Responsibilities - Develop and execute user growth strategies for Al consumer apps and websites, covering the full lifecycle of user acquisition, activation, retention and referral. - Own user acquisition and growth initiatives via influencer marketing, paid media, community operations, and content distribution. - Continuously monitor trends, user feedback and user behavior analytics in target markets to gather market insights. - Develop product positioning strategies based on market research, user behavior analysis and competitor benchmark. - Collaborate cross-functionally with product, engineering, design, and operations teams to rapidly ® iterate and launch growth initiatives. - Initiate and manage cross-channel growth strategies, including social media (Meta, TikTok, LinkedIn), community operations and event marketing. - Build and manage user communities (Discord, Facebook Groups, Reddit, Telegram, etc.) to increase engagement and retention. - Plan and execute global influencer campaigns (KOL/KOC), identify top-performing creators, and track ROl and conversions. - Drive organic content growth on platforms like TikTok, Instagram, and YouTube Shorts to acquire users at low cost. - Run and optimize paid advertising campaigns (Meta, TikTok, Google, etc.), including creative testing and budget allocation. - Coordinate SEO strategy and execution to improve product visibility on international search engines. - Analyze channel performance and user acquisition metrics, and build repeatable growth playbooks. - Establish user insights frameworks, leveraging data analytics to identify high-value user characteristics.
• Be the expert in using data to measure and analyse business performance in each our markets and lines of business. • Explore business issues/opportunities, uncover insights and/or identify targeted areas for business growth. • Partner with management and operational teams to deep dive on core issues and use our data to find answers. • Monitor key metrics and alert the business on potential issues. • Analyse operational efficiency and build business models to guide decision-making. • Daily/Weekly/monthly performance analysis to monitor the performance of business, to locate risk and to discover potential business opportunities. • Perform ad-hoc business analysis, to drill down on certain business challenges, providing conclusions and advice based on data analysis. • Help summarizing data analysis requirements to conduct data application projects (need communication with data tech team).
阿里巴巴国际数字商业 (AIDC) 商业智能部招聘 公司&部门介绍 阿里国际数字商业集团（AIDC），是阿里巴巴集团的核心且快速增长的业务。 契合国家“一带一路”的战略方向，在国际化的大蓝海赛道上高速驰骋，连续多年收入增长在30%以上。旗下业务覆盖近200个国家、市场，服务于4亿的全球消费者，囊括跨境电商、本地电商、B2B、O2O零售、供应链网络等多元化的业务形态，在全球近30个国家与地区设置办公地点，拥有超过20种不同国籍的员工。 商业智能部是AIDC的商业分析与决策支持部门，我们依托于AIDC的全球化大数据以及阿里多年的商业分析经验沉淀，拥有来自于互联网、咨询、投资、传统行业等多元化背景的团队，产生多视角、全方位的立体洞察，支持集团以及各事业部与职能部门管理者的关键决策。 我们深入业务，通过有智慧的数据洞察， 紧密结合的业务场景，实现从宏观市场到微观战术的商业分析与判断，为决策层提供关键数据洞察、核心策略参考、支持主要的各项决策制定与优化，达到数据驱动业务的完美实践。 • Be the expert in using data to measure and analyse business performance in each our markets and lines of business. • Explore business issues/opportunities, uncover insights and/or identify targeted areas for business growth. • Partner with management and operational teams to deep dive on core issues and use our data to find answers. • Monitor key metrics and alert the business on potential issues. • Analyse operational efficiency and build business models to guide decision-making. • Daily/Weekly/monthly performance analysis to monitor the performance of business, to locate risk and to discover potential business opportunities. • Perform ad-hoc business analysis, to drill down on certain business challenges, providing conclusions and advice based on data analysis. • Help summarizing data analysis requirements to conduct data application projects (need communication with data tech team).