Job Opportunities API

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What is the opportunity?  The Analytics Engineering team provides all parts of Fin's business with the right set of accurate and up-to-date data tables that form the basis of all of our most important operational and strategic data-driven decisions. The team uses their deep knowledge of how GTM and Product teams work to anticipate their data needs. They use their deep technical expertise to design the right data models and reliably turn these models into high-quality core data assets in our data warehouse. The team are experts at driving data model efficiencies and solving data quality issues at their root cause. This team is the glue between all of our Analyst teams and our Data Infrastructure teams. They speak everyone's language and make everything go faster. If you’re interested in a Analytics engineering career at Fin, apply today. What will I be doing?  Partnering with the data infrastructure engineering team to understand and help evolve and maintain our data warehouse and the ELT that feeds it. Build a best in class data platform to drive critical business decisions Partnering with all of our internal analyst teams to understand the questions they are trying to answer and help them arrive at the right answers. Simplify and improve data collection and reporting processes to automate manual workflows and eliminate manual dependencies Reconcile data issues and alerts between various systems, finding opportunities to innovate and drive improvements What skills do I need?  3+ years experience working as an Analytics Engineer You write advanced SQL with a preference for well-architected data models, optimized query performance, and clearly documented code You’re familiar with the modern data stack. dbt and Snowflake experience are a big plus. A growth mindset and eagerness to learn. You exhibit great judgment and sharp business and product instincts that allow you to differentiate essential versus nice-to-have and to make good choices about trade-offs You practice excellent communication skills, and you tailor explanations of technical concepts to a variety of audiences Nice to haves  Exposure to Apache Airflow or other DAG frameworks — we use Airflow to orchestrate and schedule all of our data workflows and transformations Worked in Tableau, Looker, or similar visualization/business intelligence platform Experience with operational tools and business systems such Google Analytics, Marketo, Salesforce, Segment, or Zuora Familiarity with Python Benefits  We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us!  Competitive salary and equity in a fast-growing start-up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Regular compensation reviews - we reward great work! Unlimited access to Claude Code