• Write, maintain, and optimize SQL queries in BigQuery to support reconciliation and data validation workflows • Lead end-to-end data reconciliation amongst or partnering law firms • Identify and resolve data inconsistencies in partnership with internal teams and external partners • Proactively monitor data automations in place with our partnering law firms • Improve, document, and standardize data processes, quality-control measures, and workflows to drive continuous improvement projects • Create dashboards and reporting to help drive actionable insights for larger teams • Mentor, train, and guide other team members on data best practices

• Build scalable solutions • Work with large volumes of data • Contribute to strategic projects involving Data Platforms, Cloud and AI

• 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