Analytics Engineer - Data Modeling Engineeer - Remote (LATAM)
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.
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.