蚂蚁金服Ant International-Business Intelligence Analyst-Malaysia
任职要求
• Bachelor's degree in Computer Science, Statistics, Analytics, Information Management, or a related technical field. • 3+ years of hands-on experience in data integration, data engineering, or data analysis. • Proficiency in SQL, Advanced Excel, and Python. • Experience with Big Data platforms (e.g., BigQuery, Spark, Airflow). • Familiarity with data modeling, analytics, and forecasting techniques. E • xperience with BI visualization tools (e.g., Power BI, Tableau). • Fluency communication in English, both verbal and written and Mandarin will be added as a plus advantage
工作职责
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.
• Understand the business and conduct business analysis by combining internal and external data to provide analysis support for company strategy, tactical decisions, and operational decisions. • Design a business analysis evaluation system from the perspective of business model health, including KPIs and core process monitoring indicators, and complete all tracking and analysis. Provide objective and professional evaluations of business results and give suggestions and opinions for business development, and assist with implementation. • Obtain market/industry/competitor information through various channels, establish and continually improve the analysis systems for market, industry trends, and competitor tracking. Analyze all aspects, from macro trends to micro individual strategies, core competencies, product features and experiences, users, marketing, etc. Identify opportunities and provide professional business suggestions, and assist with implementation.
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.
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 -Implement and enforce data governance policies and procedures. -Establish data quality monitoring and validation processes, including data profiling, cleansing, and standardization. -Utilize data cataloging and tagging tools to improve data discoverability and usability. AI Model Support -Collaborate on data labeling and merchant tagging initiatives for AI model training. -Ensure data accuracy and consistency for model development. 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.
• 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.