美团Data Analytics Business Partner (AI-Driven)
任职要求
a) 4-5 years of experience in internet platforms, local services, food delivery, or e-commerce b) Strong understanding of food delivery or F&B operations, with genuine insight into merchant behavior and business drivers c) Proficient in SQL; comfortable with AI usage, data extraction, analysis, and building reports independently d) Able to communicate data findings clearly to non-technical stakeholders, including frontline sales teams e) Detail-oriented, structured thinker with…
工作职责
1. Merchant Operations & Business Insight a) Analyze merchant performance data (GMV, order volume, AOV, conversion rate, fulfillment efficiency, etc.) to identify growth opportunities and operational gaps b) Develop a deep understanding of food delivery business dynamics across categories (QSR, coffee, casual dining) and translate insights into actionable recommendations c) Build and maintain a "Merchant × Category × Scenario" analytical framework to support BD teams in merchant conversations and growth planning2. Data Analysis & SQL-Driven Reporting a) Extract, clean, and analyze operational data using SQL to support day-to-day business decisions b) Establish standardized reporting dashboards and performance tracking (order growth, conversion funnels, retention metrics, ROI, etc.) c) Diagnose performance issues through funnel analysis and data deep-dives; continuously refine analytical models 3. BD Support & Commercial Collaboration a) Translate data findings into clear, merchant-facing narratives to support frontline BD teams in client conversations and pitch materials b) Collaborate with BD, Marketing, and Operations to design tailored growth plans for strategic accounts c) Participate in merchant reviews and provide data-backed recommendations to drive GMV and platform contribution 4. Campaign & Growth Execution a) Support the design and evaluation of marketing campaigns and merchant promotions, with a focus on measurable business outcomes b) Track campaign performance (impressions, clicks, conversion, incremental orders) and deliver post-campaign reviews and scalable best practices c) Contribute to playbook development across merchant tiers, categories, and growth stages5. Cross-functional Project Management a) Manage end-to-end analytical and operational projects (scoping → execution → reporting)b) Work closely with cross-functional teams (Product, Operations, Sales, Marketing) to ensure data accuracy and project delivery c) Document learnings and build case studies to enable knowledge sharing across the team
As part of Lazada's FBP team, you’ll be the trusted go-to partner for both business and finance internal stakeholders, focusing on data driven analytics. You won’t just crunch numbers, you’ll shape the way data drives decisions. Your mission: -Take full ownership of the end-to-end development of dashboards that empower regional FBP team to make smart, data-driven decisions -Partner closely with business teams to ensure financial reflections match the reality of operational processes -Collaborate with Data, Product, and Tech stakeholders to align on FBP's data needs and establish a reliable upstream data source -Extract valuable insights from data and provide guidance on different analytical perspectives to enhance decision-making - Serve as the team's data expert, enhancing overall team's data literacy through knowledge sharing, training, and resources.
• As a senior member in our team, you will work with pre-silicon and post-silicon data analytics - visualization, insights and modeling. • You will work with multi-functional teams, implementing brand-new methodologies for improving our outgoing quality of chips including advanced fault modeling and Silicon Lifecycle Management. • You will work on hard-to-solve problems in the Design For Test space which will involve application of algorithm design, using statistical tools to analyze and interpret complex datasets and explorations using Applied AI methods. • In addition, you will help develop and deploy DFT methodologies for our next generation products while also exploring LLM-based solutions. • You will also help mentor junior engineers on test designs and trade-offs including cost and quality.
About Ant International With headquarters in Singapore and main operations across Asia, Europe, the Middle East and Latin America, Ant International is a leading global digital payment, digitisation and financial technology provider. Through collaboration across the private and public sectors, our unified techfin platform supports financial institutions and merchants of all sizes to achieve inclusive growth through a comprehensive range of cutting-edge digital payment and financial services solutions. To learn more, please visit https://www.antglobal.com/ Job Description: 1. Responsible for building up transaction monitoring surveillance system and customer risk rating models, implement in-time assessment on AML models to guarantee performance. 2. Responsible for the innovative research and design on AML monitoring framework, utilize quantitative analytics and data techniques in a scientific way to improve the effectiveness of AML system. 3. Responsible for developing engine of automatic AML detection threshold tuning so as to guarantee quick reaction to continuous risk changes. 4. Provide quantitative analytics support to the compliance officers in regulatory visits and enquiries. 5. Work together with Product & Technology team to improve model effectiveness and extend AML defense line through applying AI and ML, meanwhile achieving commercialization. 6. Responsible for the development, testing and operation and maintenance of the risk model; based on the big data of the whole ant, mine the 360-degree characteristics of customers, and make innovations in customer identification, such as mining fund sources based on complex networks and mining user behaviour based on time series Preferences, etc., and apply the results to abnormal transaction identification and customer risk classification; 7. Responsible for the governance of anti-money laundering-related risks, formulate identification/disposal strategies; study the financial behaviors’ of hundreds of millions of Ant Financial users every day, and dig out abnormal financial behaviors, such as credit card cash, illegal fund-raising, drugs, gambling, fraud, etc. 8. Through the experience of risk management, gain insight into data problems, and design a complete suspicious transaction control plan.