Industrial Data Analyst

I want to be clear upfront—this is an early-stage, equity-based opportunity (not a paid role at this stage).

If you’re looking for a traditional paid internship or job, this likely isn’t the right fit. If you’re interested in building something real from the ground up, keep reading.

We’re building a large-scale industrial data platform focused on organizing manufacturing and supply chain information across North America. We’re already working with large, real-world datasets and actively building the first version of the platform.

What This Is

A chance to work on a live platform, not a mock project

A small, fast-moving team where your work has real impact

Direct exposure to how early-stage products are built

An opportunity to build something you can point to (portfolio / GitHub)

What You’ll Work On

Cleaning and structuring large public datasets

Deduplicating and merging company data

Building organized datasets for real-world use

Supporting early data pipeline and system development

Requirements

Basic Python (pandas preferred)

Comfort working with large datasets (CSV/text)

Understanding of data cleaning and structuring

Interest in real-world data problems

Structure

10–20 hours per week (flexible)

Equity-based initially

Potential to transition into a paid role as we grow or raise funding

Opportunity to grow into a longer-term position for strong contributors

Ideal For

Students or recent grads who want real experience over theory

Builders who want to ship, not just learn passively

People interested in startups, data, and real-world systems

How to Apply

Send:

A short introduction

Your experience with Python/data

Any GitHub or project links

Email: info@usworldalliance.com

If you’re looking to be part of something early, move fast, and build something real, this could be a strong fit.