Data Analyst - Consumer Banking

**Objective:** To analyze various data sets, providing insights to support business decisions and risk management strategies within the organization. **Key Responsibilities:** • Collaborate with Business Units (BUs) to identify needs, then conduct in-depth data analysis and modeling to pinpoint trends and patterns. Develop actionable insights and strategies related to online lending products, promoting data-driven decision-making across all BUs. • Partner with the risk and collection teams to perform analyses related to risk and collections. This includes evaluating the creditworthiness of loan applicants, predicting repayment probability, identifying potential fraud, and formulating strategies, data products, models, and indicators to reduce lending risks, with a particular focus on enhancing data infrastructure, providing added value, and developing modeling products. • Conduct business-related analyses, such as customer segmentation and digital behavior analysis, to determine how to improve product offerings, digital user flows, and customer service processes. • Evaluate data solutions, oversee implementation, and manage vendor quality for online lending purposes to improve risk management, customer experience, and data enrichment. • Create data models and generate reports and dashboards using GCP Looker to share data-driven findings and recommendations with Business Units and management. • Research data analysis practices in the local market to propose and implement relevant data products and projects for BU teams. • Collaborate with the HQ data team on infrastructure and technical initiatives, including data mart construction, experimental data projects, and advanced modeling. • Perform ad-hoc analysis to support various Business Units.