Senior Data Analyst

Común Analytics RoleComun'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.This role focuses on delivering high-quality analytics at scale across Comun, 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 DoBuild and maintain the dbt models and metric definitions that power analytics across the business, so every team works from the same numbersBuild the semantic layer that gives AI agents and stakeholders the context and structure to use data reliably, turning raw domain data into trusted, reusable assetsOwn measurement, reporting, and analysis end to end for specific domain areas; decide what gets measured, how, and whyPartner with Product, Growth, Risk, and Finance on high-stakes questions (feature impact, funnel drop-off, fraud and loss trends, cohort behavior) with rigorOwn dashboards and self-serve tooling in Hex so stakeholders get trustworthy answers without waiting on a one-off queryCommunicate data driven findings clearly to stakeholders and leadership, without flattening the nuance or overstating what the data supportsRequirementsStrong SQL, Python, dbt, and a BI/notebook tool (Hex, Looker, Mode, or similar): these are the core of the role3+ years in a data analyst, analytics engineer, or similar role, ideally with direct ownership of a business domainExperience with a modern warehouse (Snowflake, BigQuery, Redshift, or similar)Some exposure to financial data (payments, banking, lending, or similar), including reconciliation and settlement conceptsReal, demonstrable use of AI tools in your analytics workflow; come ready to name the tool, the workflow it accelerated, and the outcomeA clear communicator who can explain a data-driven conclusion to a PM or exec without losing the nuanceNice to have: experience in a regulated financial product, fraud/risk analytics or credit modeling, reverse-ETL tools (Hightouch, Census), orchestration tools, or experience owning a semantic layer for LLM/agent-driven querying.You'd Be a Great Fit If YouHighly motivated by driving business decisions forward, and enjoy working with cross-functional teamsCare irrationally about the quality and correctness of core metric definitionsWant to keep pushing your skills forward by leveraging the power of AIAre willing to get hands-on in areas outside your expertise, given capabilities that AI has unlockedHave a strong work ethic, and want to work in person with a high-performing teamTeamWe are a team of 40 based out of New York, coming from industry-leading companies like Brex, Nubank, Cruise, and Verkada. Over half of us are immigrants, and have experienced the problems we're solving first hand. We value customer focus, high ambition, principled decision-making, and deep trust. Full Time Employee BenefitsCompetitive salary and generous equityMedical, dental, and vision insuranceGym Pass subscriptionDaily office lunch in NYC OfficePaid parental leaveFlexible PTORemote-friendly when travelingCompany-wide offsites401(k) for US employeesVisit to our NYC Office for remote team membersVisa sponsorship if applicableComún is proud to be an equal opportunity employer. We are committed to building a diverse and inclusive culture that celebrates authenticity. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics.