Summary: FlowMo is seeking a Data Modeler to build AI systems that transform business data into actionable insights, focusing on answering core business questions quickly. Highlights: 1. Opportunity to grow into an analytics or solutions role 2. Work directly with founders and core product team 3. Fast-paced environment with minimal process and bureaucracy FlowMo builds AI systems that turn business data into real work. getflowmo dot com We work with companies to answer questions like: * What’s driving revenue? * Where are we losing money? * What should we do next? We are not building dashboards. We are building systems that help companies operate. This role is for someone who can take messy data and produce answers quickly using data modeling best practices. **Tasks** --------- * Build data models using SQL and DBT/LookML\-style logic * Answer core business questions such as CAC, LTV, attribution, and revenue drivers * Debug and fix broken or incomplete datasets * Translate business questions into structured data models * Iterate quickly and improve outputs over time * Ship usable results fast, not perfect results slowly **Requirements** ---------------- * 2–5\+ years working in data modelling in a business context * Experience with data modeling tools (DBT, LookML, or similar) * Comfortable working with messy or incomplete data * Strong written and spoken English * Ability to work overlapping U.S. hours (EST) * Ability to operate independently with minimal structure **Benefits** ------------ * Fast\-paced environment with minimal process and bureaucracy * Opportunity to grow into a customer\-facing analytics or solutions role * Work directly with founders and core product team * Flexible, remote\-first work environment This is a remote role within a small, fast\-moving team. Independence, speed, and ownership are essential. You should expect to: * Work with real customer data from day one * Operate with minimal structure and high accountability * Iterate quickly and learn by doing We value people who can figure things out and ship results. Application Process: * Apply with your responses to the required questions * Short (30\-minute) interview * Fast decision We encourage you to apply and look forward to getting to know you.