• Build new datasets and pipelines while also helping to update and improve our existing data infrastructure • Run end-to-end analytics projects, from ingesting new data into our data warehouse (we use Fivetran & Snowflake), to transforming in DBT, to building user-facing dashboards in our BI tools • Partner with PMs and engineering managers to define and develop KPIs • Provide data and insights to inform business decisions and share results with the broader company and leadership team • Analyze user behavior to understand product/feature usage and predict long-term cohort health • Enable self-service analytics by training users on our BI tool and building clean, easy-to-use data models

• Network Reporting & Regulatory Compliance • Interchange Analysis & Revenue Attribution • Strategic Modeling & Network Economics • Data Engineering & Upstream Influence

• Design, build, and maintain scalable data pipelines that extract, transform, and load (ETL/ELT) data from various internal and external systems • Develop efficient and reliable data models that support reporting and analytics needs across business functions • Implement data quality checks and monitoring to ensure accuracy, completeness, and consistency of critical datasets • Manage and optimize data storage solutions (e.g. data warehouses, data lakes), ensuring scalability, security, and performance • Partner closely with analysts and business stakeholders to understand their data needs and deliver well-documented, high-quality data assets • Work with Engineering teams to instrument new data sources and drive data-driven culture across the organization • Develop automated processes for data ingestion, transformation, and validation; implement monitoring to proactively detect issues • Provide insights via easily digestible visualizations in Tableau and ad-hoc

• We are looking for a Lead Analytics Engineer to join our data team. • Reporting to the Hiring Manager, you will be responsible for applying data engineering best practices to analytics code to transform, test, and document data. • You will provide clean and organized data sets to end users. • You will be provide expert code reviews and mentorship to other engineers in the data space • You will be responsible for building and maintaining composable data models, as well as optimizing SQL query performance for the models you build. • You will transform raw data into business insights, working closely with stakeholders and developing analyses to answer critical business questions. • You will create data visualizations and help stakeholders explore and understand the data visualization tools available to them.