携程Business Intelligence Analyst(MJ033999)

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.

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.

As a Business Intelligence Analyst, you will bridge data and business strategy for Antom's Alibaba Group Team. You will monitor performance metrics, forecast trends impacted by regulatory/political shifts, and deliver actionable insights to optimize operations. Key Responsibilities: 1. Performance Tracking & Risk Management: Track business volume KPIs, identify deviations, and provide early risk alerts to stakeholders. 2. Regulatory & Political Impact Analysis: Conduct granular analysis of transaction volume changes driven by new regulations, political developments, or macroeconomic factors. Build predictive models for mid-/long-term trends. 3. Business Operations Analysis: Partner with cross-functional teams to analyze profitability, operational efficiency, and market opportunities. Deliver clear, actionable reports. 4. Data Product Development: Define business metrics, document domain knowledge, and collaborate with data engineers to build scalable data products (e.g., Dashboards, Data warehouse tables).