滴滴Sr. Business Analyst_Strategy Adaptability策略适配(J250611011)
任职要求
• Master's degree (highly preferred) in Mathematics, Statistics, Computer Science, Data Science, Engineering or similar disciplines • 1 - 3 year's experiences working in data science or business analytics related field • GPA - 3.5 or higher is preferred • Strong proficiency in query language (e.g. SQL) and programming skills (e.g. Python, R) • Knowledge in Machine Learning, Causal Inference and Optimization Methodology is a plus • Strong presentation skills in Mandarin and English
工作职责
工作地点：上海静安区灵石路718号滴滴百川大厦 我们是滴滴国际化交易策略适配团队。国际化业务是集团的重要增长方向，我们将深入国际化交易策略和交易市场，运用机器学习、因果推断等量化方法，解决交易策略在各地区的适配问题。团队开放、年轻、多元化。在日常工作中，你将有机会和算法、运营等团队进行深入交流，相信在持续创造价值的同时，你也将拥有长足的个人成长空间。 【关于我们】 滴滴自2018年初收购巴西出行平台99开始，正式启动了国际化战略。目前，滴滴的国际业务覆盖了拉美、亚太和非洲的14个国家，为当地市场提供以出行为主、涵盖外卖和金融的多样化服务。 • Conduct quantitative research in marketplace strategy to understand and identify opportunities in optimization • Develop statistical, optimization and ML models for strategy analysis • Facilitate quantitative analysis to support regional operation • Present findings to senior management to inform business decisions • Collaborate with cross-functional teams across disciplines to drive system development end-to-end from ideation to production
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.
THE ROLE Tesla’s Finance team combines traditional financial planning and analysis with broader business decision making and strategy, directly supporting leadership. Finance is embedded in daily operations, supporting both near-term execution and long-term planning. This role will be the finance partner for sales and delivery team and is expected to analyze data, provide recommendations for profitability improvement, and lead cross-functional decision-making and implementation of the recommendations. RESPONSIBILITIES Tracking APAC sales and delivery business financial performance and analyzing key indicators through data consolidation, analytics and financial modeling Reviewing business funding requests including headcount, location opening and renewal, and operational expenses Identifying revenue expansion and cost reduction opportunities and implementing financial and business changes Managing pricing and sales incentives for inventory Preparing financial forecasts and variance analysis. Consolidating monthly closing result Setting financial budget and target, and developing reports to track performance and milestones. Communicating the results and insights with business team and management Improving and updating processes to align with the constantly changing nature of the business. Identifying initiatives for improvement of Tesla’s financial outlook, including developing, tracking, and executing business initiatives with Tesla’s leadership. Providing strategic insights and conclusions based on financial analysis. Leading automation projects of financial system and reporting
The Role Tesla’s Finance team combines traditional financial planning and analysis with broader business decision making and strategy, directly supporting leadership. Finance is embedded in daily operations, supporting both near-term execution and long-term planning. Team members are expected to analyze data and provide recommendations and to lead cross-functional decision-making and implementation of the recommendations. This role will work closely with purchasing team and Engineering R&D team to drive BOM cost reduction opportunities. RESPONSIBILITIES • Conduct part level should-cost analysis and provide pricing insight to purchasing team • Build and improve should-cost database structure to enable more in-depth and detailed cost analysis • Build tooling database and drive business towards more robust tooling PO placement & more in-depth and detailed cost analysis • Forecast BOM cost and analyze forecast vs.actual variance • Work with engineering and design team to optimize product BOM cost • Work with purchasing team to identify cost reduction roadmap and track various cost reduction initiatives • Work cross-functionally with engineering, NPI and purchasing team and conduct various business cases analysis for part-cost related decisions
• Define and deliver large-scale BI solutions, including data modeling, KPI standardization, and pipeline automation. • Lead migration of legacy reporting into modern AWS QuickSight and other BI platforms. • Establish and maintain data foundations for social and marketing data, ensuring completeness, accuracy, and compliance. • Conduct advanced analytics, including user behavior modeling, segmentation, and marketing campaign measurement. • Generate actionable insights and recommendations to improve seller journeys, marketing effectiveness, and AI agent performance. • Collaborate with marketing operation team, data engineers, product managers, SDEs, financial analysts, and data scientists to design metrics and guide business decisions. • Drive best practices in operational excellence, data quality management, and data governance. A day in the life You will define marketing BI strategy, build scalable data models and generate actionable insights that drive product, marketing, and AI initiatives. You will partner with data engineering, product, and science teams to ensure high-quality, compliant, and scalable data foundations. Your work will directly influence AI-powered agents, seller engagement, and business growth.