苹果Economist/Core Data Scientist
任职要求
Minimum Qualifications • Strong quantitative background in statistics, econometrics, or applied mathematics • Expert R/Python programmer also proficient in other languages important to the ETL data pipeline (e.g. SQL) • Excellent verbal and written communication skills, in both Mandarin Chinese and English Preferred Qual…
工作职责
Partner with business teams to translate strategic questions into analytical frameworks Build and apply models for causal inference, forecasting, and optimization Analyze complex datasets, including geospatial and market data, to identify performance drivers Present clear, actionable insights to stakeholders
Data Analysis and Reporting:Gather, analyze, and interpret complex data sets, including market trends, supply chain resources, traffic and conversion rates, user behavior, user profiles, etc.Prepare comprehensive reports detailing findings and providing actionable insights to support market growth strategies and improve business processesSupport overseas operation teams on ad-hoc data requests and projects Performance Monitoring:Routinely monitor key performance indicators (KPIs) and other metricsCollaborate closely with HQ & Regional teams to gather necessary data and feedbackStakeholder Communication:Clearly convey findings and recommendations to regional market directors, managers, business analysts, and other stakeholders in an understandable and compelling manner Process Improvement:Identify bottlenecks and inefficiencies within the existing processes of collaboration between business analysts and cross-functional teamsDevelop standard operating procedures (SOPs) to streamline workflows between business analysts and cross-functional teamsRegularly organize and host cross-regional business analysts' communication meetingsTraining:Collaborate with the HQ BI team to conduct onboarding training for new regional business analystsDocumentation:Maintain detailed documentation of analyses, reports, and the implementations of process improvements
• 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.
• Support Apple’s vendor payables processes, business insights and process improvement initiatives. • Partner with external vendors and internal teams to manage vendor payables for Indirect Purchases in compliance with finance policies and procedures. • Drive operational excellence by meeting or exceeding SLA metrics. • Use data visualization to identify operational trends, outliers and insights that drive tangible outcomes for our business partners. • Proactively find opportunities to simplify end-to-end processes and drive efficiency and automation, while maintaining strong compliance and controls. • Collaborate with global and regional peers to ensure that processes, tools and business solutions are globally consistent whenever possible.
Your Responsibilities As an Operations Manager at Didi ANZ, you will play a pivotal role in driving pricing strategy and enhancing customer experience to ensure sustainable growth and competitive advantage. Your key responsibilities include: Lead Pricing Strategy & Execution : - Own end-to-end pricing decisions, including dynamic price adjustments, surge pricing models, and promotional campaigns. - Conduct deep-dive analytics to evaluate pricing effectiveness, elasticity, and ROI, ensuring alignment with business goals. - Collaborate with BI, Product and other teams to design and implement scalable pricing frameworks. Market & Competitive Analysis : - Monitor market trends, competitor pricing, and regulatory changes to inform strategic adjustments. - Develop segmentation strategies based on city dynamics, user behavior, and demand patterns. Customer Experience and Cross-Functional Collaboration: - Identify core user pain-points and work closely with regional and global teams to craft effective solutions using a wide range of levers. - Present actionable insights and recommendations to senior stakeholders, driving data-backed decisions.