• Support design and monitoring of EWA underwriting strategies and forecasting tools. • Translate analytical findings into clear recommendations for credit policies. • Support champion/challenger tests and experiment design for EWA risk strategies. • Assist in designing exposure limits, eligibility rules, and verification checks. • Query, clean, and analyze large bank transaction datasets using SQL and Python, or R/SAS). • Build dashboards, reports and durable data assets to track customer behavior and credit performance. • Perform EDA, feature engineering, and data quality checks to drive trusted insights. • Prepare model inputs, evaluate new data sources (including open-banking data), and track model performance. • Analyze performance of underwriting strategies and identify opportunities to improve accuracy and reduce losses. • Learn and introduce new analytical tools and techniques relevant to credit risk. • Partner with Product, Engineering, Data Science, and Operations to implement updates to policies and decisioning logic. • Support the coordination of initiatives with data suppliers. • Package insights into crisp narratives and presentations for stakeholders.

• Participating in discovery and requirements sessions to understand business goals and translate them into tracking plans • Collaborating with developers and the Analytics Lead to design and document data layer specifications for GA4 tracking • Implementing and validating events using Google Tag Manager, including tag configuration, triggers, variables, and testing • Configuring and maintaining Google Analytics 4 properties, including events, parameters, custom dimensions, and conversions • Troubleshooting and validating tracking with debugging tools such as GA4 DebugView, Tag Assistant, or similar tools • Supporting GA4 data exports and modeling within BigQuery to structure data for reporting and analysis • Building reports and dashboards using Looker Studio or other visualization tools to communicate insights • Performing quality assurance, audits, and ongoing maintenance to ensure accurate and consistent measurement • Collaborating with media, strategy, and development teams to ensure analytics aligns with overall business objectives • Supporting documentation, tagging governance, and measurement frameworks • Staying current with analytics best practices, privacy standards, and updates across the Google ecosystem

• Partner with cross-functional teams and be the Credit POC that manages the end-to-end credit strategy for the Amazon portfolio • Leverage alternative data and optimize our credit strategy to expand credit reach to the low FICO and credit invisible users • Partner with Machine Learning team to enhance our underwriting framework for high AOV • Support new product formation and new vertical exploration

• Collect, clean, and analyze large datasets to uncover trends, patterns, and actionable insights. • Perform exploratory data analysis to uncover trends, patterns, and anomalies that impact platform trust and safety. • Collaborate with Safety Ops, product, and engineering teams to support investigations of flagged content or behavior. • Support continuous process improvements in data collection, analysis, and reporting workflows. • Help with policy enforcement operations; partner on audits and enforcement efficiency related projects.