Analytics Engineer - Data Modeling Engineeer - Remote (LATAM)

FlowMo builds AI systems that turn business data into real work. getflowmo dot comWe 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.TasksBuild data models using SQL and DBT/LookML-style logicAnswer core business questions such as CAC, LTV, attribution, and revenue driversDebug and fix broken or incomplete datasetsTranslate business questions into structured data modelsIterate quickly and improve outputs over timeShip usable results fast, not perfect results slowlyRequirements2–5+ years working in data modelling in a business contextExperience with data modeling tools (DBT, LookML, or similar)Comfortable working with messy or incomplete dataStrong written and spoken EnglishAbility to work overlapping U.S. hours (EST)Ability to operate independently with minimal structureBenefitsFast-paced environment with minimal process and bureaucracyOpportunity to grow into a customer-facing analytics or solutions roleWork directly with founders and core product teamFlexible, remote-first work environmentThis 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 oneOperate with minimal structure and high accountabilityIterate quickly and learn by doingWe value people who can figure things out and ship results.Application Process:Apply with your responses to the required questionsShort (30-minute) interviewFast decisionWe encourage you to apply and look forward to getting to know you.Originally posted on Himalayas