[Hiring] Analytics Engineer - Data Modeling Engineer @FlowMo

Role Description

FlowMo builds AI systems that turn business data into real work. This role is for someone who can take messy data and produce answers quickly using data modeling best practices.

• 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

Qualifications

• 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

Requirements

• 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

Benefits

• This is a remote role within a small, fast-moving team. Independence, speed, and ownership are essential.
• 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

Company Description

FlowMo connects a DTC brand's stack (Shopify, GA4, Meta, Google Ads, Klaviyo, and more) once, then runs deterministic AI on top of a semantic data model to go from data → insight → recommendation → action. Operators and agencies see value by day 2 (with your help). No new stack, no data team, no dashboard fatigue. Every competitor (Triple Whale, Northbeam) stops at insight. We do the work.