About Común
Comun’s mission is to help Hispanic immigrants turn their hard work into upward mobility — starting with financial services that support their transition from a cash-based system to the digital economy.
We offer checking accounts that can be opened using 100+ types of Latin American IDs, access to over 90K locations nationwide to deposit cash, international transfers to 17 countries at market-leading rates, and 24/7 bilingual customer support with <5 min SLA across email, chat, and phone.
We currently process over $1.5B in annual transaction volume and surpassed $100M in annualized international transfers just six months after launch. Comun has raised +$50M from top investors including Redpoint, Costanoa Ventures, and South Park Commons. Our team brings experience from leading fintech companies like Brex, Nubank, and Mercury.
We believe immigrants are the ultimate entrepreneurs — driven by relentless ambition and a vision for a better future for their families. Comun exists to serve them throughout their journey.
Learn more at comun.app/nosotros
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About the Role
This role focuses on delivering high-quality analytics at scale across Común, split across two key areas:
Designing and owning canonical data models in our warehouse, and delivering the dashboards, monitoring, and research that turn that data into decisions. You'll own specific domains end to end (e.g. reconciliation, remittances, risk): deciding what gets measured, building the pipelines and definitions behind it, and clearly framing insights to drive decision making.
Pushing the boundaries of our data platform and infrastructure to enable trusted AI outcomes on our data. As we scale, that means expanding our warehouse context and semantic layer, exploring new tools and integrations, and driving toward an AI-native warehouse and data product, with an obsessive focus on the trust and quality of outcomes generated through agentic processes.
You will join the Data team, partnering closely with Product, Growth, Risk, and Finance.
What You'll Do
Build and maintain the dbt models and metric definitions that power analytics across the business, so every team works from the same numbers
Build the semantic layer that gives AI agents and stakeholders the context and structure to use data reliably, turning raw domain data into trusted, reusable assets
Own measurement, reporting, and analysis end to end for specific domain areas; decide what gets measured, how, and why
Partner with Product, Growth, Risk, and Fi