Analytics Engineer

🐶 Our mission Every pet should get the care they need, regardless of cost. Vet med prices are up 40% since 2020, and pet owners are stuck having to pick between their bank account and furry friend. At Snout, we aim to solve this by enabling clinics to offer wellness plans that actually work. 🚀 The opportunity Snout is one of the fastest growing wellness plan providers in the veterinary space, trusted by clinics across the U.S. We’re a small but mighty startup team of <50 employees. We're on the lookout for an experienced and remote Analytics Engineer based in the U.S. to help organize and integrate our databases and software to connect veterinary client data and other sources into powerful, actionable insights. 💻 The role As our sole Analytics Engineer, you'll be hands-on building and maintaining the data infrastructure that powers Snout — from BI integrations with our veterinary customers to the pipelines and models that make our data reliable and useful. You'll partner closely with teams across GTM, marketing, CX, and engineering to translate business questions into analytics assets that actually get used. Your impact will be felt across the entire organization. The insights and reporting infrastructure you build will directly shape how Snout's clinic partners experience our product and how our internal teams make decisions. This is a foundational role at a critical sta [... source excerpt omitted ...] ng, and reporting Create algorithms to determine relationships between various data sources and surface insights for end users Discover and deliver insights and reporting to our customers and internal stakeholders 💡What we're looking for 5+ years of experience in data analytics, building and maintaining data infrastructure Experience across data and analytics, reporting/visualizations, data warehousing, data testing, and analytics engineering A proven track record of data integration for data model consumption Experience analyzing large datasets from multiple source systems for reporting consumption Hands-on experience with Looker, dbt, SQL, Snowflake, and Fivetran (or si