蚂蚁金服蚂蚁国际-Business Intelligence Analyst-战略部

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.

1. Develop strategic and analytical frameworks to support leadership teams in defining strategies that maximize growth and profits. 2. Work closely with operations, Business Intelligence, marketplace, product, marketing, etc., to manage the daily operations. 3. Engaged in project management. The team will be leading or be involved in growth, supply, marketplace related projects. 4. Drive analysis on our mobility business, measure the impact and efficiency of inititives and features.

Business Analysis & Reporting • Conduct comprehensive business analysis to support decision-making across departments. • Prepare detailed reports, dashboards, and presentations to communicate insights to stakeholders. • Develop and maintain key performance indicators (KPIs) to measure business performance. Data Pipeline Development: • Design, build, and maintain scalable data pipelines using SQL, Spark, and other relevant technologies. • Optimize data pipelines for performance, reliability, and efficiency. Data Governance & Quality: • Ensure data accuracy, consistency, and reliability through data profiling and cleansing processes. • Collaborate on data governance initiatives to establish standardized data practices. • Monitor and improve data quality to support accurate business decision-making. Business Intelligence & Visualization: • Develop interactive data dashboards and reports using BI visualization tools (e.g., Power BI) to support business reviews and technical monitoring. • Translate complex data into clear and actionable insights. Data Support & Troubleshooting: • Manage and prioritize data support requests from business and product teams. • Troubleshoot and resolve data-related issues across multiple systems, ensuring data consistency. • Proactively identify and resolve data discrepancies. Data Integration: • Design and build scalable data integrations to support business needs. • Collaborate with engineering teams to develop and maintain high-volume inbound and outbound integrations. Collaboration: • Work closely with cross-functional teams, including product managers, engineers, and business stakeholders.

As a Business Intelligence Analyst, you will bridge data and business strategy for Antom’s North America team. You will monitor performance metrics, forecast trends impacted by regulatory/political shifts, and deliver actionable insights to optimize operations. • Performance Tracking & Risk Management: Monitor key business volume KPIs, identify deviations from expected performance, and proactively communicate early risk alerts to relevant stakeholders. • Regulatory & Political Impact Analysis: Conduct detailed analysis of transaction volume fluctuations resulting from new regulations, political events, or macroeconomic trends. Develop predictive models to forecast mid- to long-term impacts. • Business Operations Analysis: Collaborate closely with cross-functional teams to analyze profitability drivers, operational efficiency, and potential market opportunities. Deliver clear and actionable reports based on your findings. • Data Product Development: Define core business metrics, meticulously document domain-specific knowledge, and partner with data engineers to build robust and scalable data products, such as dashboards and data warehouse tables.