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 Qualifications • Proven experience in causal inference, predictive modeling, and large-scale data analysis • Ability to share results with a non-technical audience and advancing multiple projects at once on a tight schedule • Industry experience as a senior data scientist with engineering or production-level coding experience.
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.
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.
1. FX & Wealth Product Campaign Management a. Activity planning and execution of FX related campaigns, including online and offline promotions, customer engagement initiatives and market expansion projects. b. Campaign evaluation and optimization: Utilize data analysis tools to monitor and evaluate effective-ness of campaigns, optimize strategies based on data feedback to continuously enhance impact and conversion rates. 2. FX & Wealth Product Library Management and Training a. Update and optimize customer guides and internal training materials for FX & Wealth related products, ensure accuracy of such material. b. Improve front-line teams’ familiarity with FX & Wealth products through high-quality training. 3. Frontline Support and Collaboration a. Daily Q&A: Serve as core support for the front-line teams by addressing daily operational queries relating to client transactions and providing professional guidance on use of FX & Wealth related products. b. Sales process optimization: Collaborate closely with frontline teams to streamline workflows, improve efficiency, and enhance customer response times, ensuring smooth and effective end-to-end operations. 4. FX Risk Monitoring and Operation a. Monitor daily foreign exchange pricing and dealing alerts, monitor anomalies in quotes, trading behaviors, and market fluctuations. b. Risk handling and reporting: Promptly resolving and reporting of risk incidents to relevant stakeholders, assist in developing mitigation plans, and ensure proper resolution to maintain business stability.