Lead Data Analyst

该职位来源于猎聘 Key Responsibilities:Lead the development and execution of data analysis projects to support fraud detection, operational monitoring, business intelligence, and performance reporting.Work closely with stakeholders to understand business problems, define KPIs, and deliver actionable insights and recommendations.Build and maintain automated dashboards and reports that support strategic and operational decision-making across teams.Support fraud and risk control initiatives through data analysis of transaction patterns, behavioral signals, and case investigation metrics.Partner with AI/ML engineers and data scientists to develop, evaluate, and deploy models that enhance automation and intelligence in business operations.Collaborate on the design and application of large language models (LLMs) and other AI tools to solve analytical and operational challenges.Drive data storytelling and visualization to clearly communicate trends, risks, and opportunities.Document analytical processes, KPIs, and data definitions to maintain high standards of data governance.Mentor junior analysts and contribute to the development of best practices in analytics, AI applications, and reporting. Key Qualifications:Bachelor's or Master’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field.5+ years of experience in data analysis or business intelligence, with exposure to risk or fraud analytics considered a plus.Strong SQL skills and proficiency in Python, R, or other analytical programming languages.Experience with business intelligence tools such as Tableau, Power BI, or QuickSight.Familiarity with AI/ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) and understanding of LLM concepts (e.g., embeddings, prompt engineering).Experience leveraging AI tools (e.g., ChatGPT, Claude, LangChain) for data exploration, reporting automation, or business solution development.Strong communication and collaboration skills, with experience working cross-functionally.Ability to translate complex data findings into clear business insights.Organized, detail-oriented, and capable of managing multiple analytical projects. Nice to Have:Experience in fintech, e-commerce, or digital payments industries.Hands-on experience developing or implementing AI/ML or GenAI solutions in business environments.Experience with cloud data platforms (e.g., AWS, GCP, or Azure).