# Data Automation Analyst at Uproot Clean
> Posted: 2026-09-16 | Status: Active | Source: StoreJobs.dev

## Role Metadata
- **Employment Type:** Full-Time
- **Workplace:** Remote (Latin America)
- **Experience Level:** Mid-Level
- **Primary Platform:** #shopify
- **Salary Range:** Undisclosed
- **Required Stack:** shopify, BigQuery, dbt, Fivetran, n8n, Zapier, Make, Amazon, Data Pipelines, ETL, Data Warehouse

## Job Description
Data & Automation Analyst

Location: Fully Remote (LATAM)
Job Type: Full-Time

Obsessed with building systems and eliminating manual work? We need a problem-solver who can design data pipelines, automate workflows, and turn messy processes into scalable systems. This is a hands-on role where building, debugging, and improving systems is the core of the job.

The Role

This is a hands-on execution role. You will build and maintain data pipelines, automate workflows, and improve system reliability across the business.

This is not a passive analytics role. You are here to build, troubleshoot, and optimize systems that eliminate manual work and increase operational efficiency.

The ideal candidate is both analytical and builder-minded. You enjoy working with data, designing systems, and solving real business problems through automation.

This Role Is For You If:
- You enjoy building systems and automations that make work more efficient
- You think in terms of pipelines, workflows, and scalable solutions
- You naturally look for ways to eliminate manual work
- You are comfortable debugging issues and figuring things out independently
- You like turning messy data and processes into structured, reliable systems

This Role Is NOT For You If:
- You prefer purely analytical or reporting-focused roles without building
- You rely heavily on pre-built tools without understanding how systems work
- You need constant direction or struggle to work independently
- You are not comfortable owning systems end-to-end

What You'll Do

Data Infrastructure
- Build, maintain, and optimize data pipelines across multiple sources
- Manage and structure data within BigQuery to ensure accessibility and scalability
- Transform and model data using tools like dbt Core
- Ensure data accuracy, consistency, and reliability across systems

ETL & Integrations
- Set up and manage ETL pipelines using tools like Fivetran or similar
- Integrate data from multiple platforms (Shopify, Amazon, ad platforms, internal tools)
- Monitor pipeline performance and proactively troubleshoot issues

Automation & Workflow Systems
- Design and implement automations using tools like n8n
- Identify repetitive manual processes and replace them with automated workflows
- Connect systems and tools to streamline operations and data flow

Data Quality & System Reliability
- Build systems to detect data inconsistencies and failures
- Maintain documentation for pipelines, automations, and data models
- Ensure reliability and uptime of critical data workflows

Problem Solving & System Building
- Identify inefficiencies across the business and propose scalable solutions
- Build internal tools, workflows, or lightweight systems to improve productivity
- Work cross-functionally to translate business needs into technical solutions

Requirements

Nice to have:
- Bachelor's degree in Systems Engineering, Computer Science, or a related field
- Hands-on experience with BigQuery or similar data warehouses
- Familiarity with ETL tools such as Fivetran (or similar)
- Experience building automations using tools like n8n, Zapier, or Make
- Strong problem-solving skills and a builder mindset
- Effective communication and interpersonal skills

Work Requirements
⏰ Schedule: Monday-Friday, 8:00 AM - 5:00 PM EST
💻 Workspace: Fixed, professional setup required (not digital nomad)
📊 Output: Consistent daily execution is non-negotiable

## How to Apply
To view the original listing, see applicant requirements, or apply directly, visit:
https://storejobs.dev/jobs/sf-2981-data-automation-analyst?utm_source=ai_assistant