蚂蚁金服蚂蚁国际-Business Intelligence Data Analyst-Antom

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.

• Understand the toB business deeply and conduct comprehensive strategy analysis by combining internal and external data. • Provide critical analysis support for company strategy, tactical decisions, and operational decisions. • Proactively obtain market, industry, and competitor information through various channels. • Establish and continuously improve analysis systems for tracking market trends, industry developments, and competitor activities. • Based on the established analysis framework, define data product requirements. • Collaborate effectively with relevant teams (e.g., technology development) to design a business analysis evaluation system focused on business model health. • Establish key performance indicators (KPIs) and core operation monitoring indicators (e.g., merchant lifecycle funnel, capacity, transaction contribution). • Complete operational projections, indicator analysis, and attribution analysis.

Data Warehouse Design, Development, Maintenance and Optimization: Architect, build and manage secure, flexible and scalable data warehouse solutions. Ensure the iterations adapt to the ever-changing global technology and new business demand. Performance Optimization: Write complex and efficient SQL queries for data manipulation, transformation, and aggregation. Optimize SQL queries to improve performance and efficiency. ETL Process Management: Design, implement, and maintain ETL (Extract, Transform, Load) processes. Ensure accurate and efficient data integration from various sources into the data warehouse and the optimal model to fit downstream usage. Data Quality and Governance: Implement data quality checks, balances, and controls to ensure the accuracy and integrity of data within the data warehouse. Co-work with Risk Control Management Team to ensure the optimal data quality and compliance. Collaboration and Support: Work closely with Global Team to ensure the data foundation is consistent with global standards and adapted to the latest technology; Co-work with other business analyst, business intelligence engineer, and other stakeholders to run the data foundation ecosystem and translate data needs to robust data solutions Continuous Improvement: Stay informed of industry trends and advancements in AWS based technologies. Recommend and implement improvements to processes and technologies to enhance data warehouse functionality and efficiency.

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