• Act as a trusted business advisor to the Core Service team, proactively identifying trends and driving efficiency improvements • Own the design of dashboards, metrics, and reports, turning data into actionable insights for the fraud, funding, risk and support experience teams • Dive into large, complex datasets/logs to turn your findings into scalable data models necessary to facilitate reporting, analytics and ML models • Lead cross-functional projects with analysts, scientists, engineers, and product teams to build data pipelines using Airflow, Python, and DBT • Develop and automate reporting of key performance indicators across core services teams • Be at the forefront of data innovation by experimenting, testing hypotheses, and translating insights into action. • Develop high-quality code for pipelines and dashboards, incorporating software engineering best practices