Analytics Engineer

United States·Chicagomid

Data EngineerData

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Quick Summary

Key Responsibilities

Design, build, and maintain Loop’s core data models and ETL processes. Define Metrics and Governance : Establish and govern key business metrics for consistency across teams.

Requirements Summary

2+ years experience building analytical products (system, dashboard, models). Strong proficiency in SQL and Python for data transformations and automation.

Technical Tools

Data EngineerData

Loop is on a mission to streamline the movement of money between shippers, carriers, and brokers to unlock margin and increase liquidity in the supply chain.

Today, logistics payments are a big black box that unnecessarily drains thousands, if not millions, of dollars. Legacy services do not meet the market's needs. Transportation teams need a solution that unlocks insights from their complex datasets, rather than drowning them in manual workflows.

Loop harnesses AI expertise with deep logistics industry knowledge to deliver automated audits, streamlined resolutions, expedited payments, and most importantly actionable insights. All so that shippers and 3PLs can improve spend visibility, eliminate unnecessary costs, and optimize their transportation spend. Loop’s customers see a 4% reduction in costs and an 80% boost in back-office productivity.

Loop is a customer-obsessed company that sees the complexity in the supply chain as an opportunity rather than a challenge. Our foundational AI capitalizes on the messiness in the system to maximize outcomes for our customers.

Investors include Founders Fund, 8VC, Susa Ventures, Flexport, and 50 industry-leading angel investors. Our team brings subject matter expertise and experience from companies like Uber, Google, Flexport, Meta, Samsara, Intuit, and Rakuten – as well as traditional logistics companies like CH Robinson.

About the Role

~1 min read

As an Analytics Engineer at Loop, you will play a pivotal role in maturing the data organization. You’ll work cross-functionally to design, build, and own the core infrastructure and data models. These systems will enable both internal and client facing analytics, accelerating data-driven decision-making throughout the company and our clients.

Responsibilities

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Requirements

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Nice to Have

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Global supply chain experience in transportation and logistics.
Previous experience setting up a data stack in a startup from scratch.
Interest or experience in working with cutting-edge open-source data tool.
Proven ability to convert ad-hoc data requests into scalable, automated pipelines.
Experience working in the logistics domain.

What We Offer

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✓Base pay 135k - 155k

✓This role is eligible for Loop’s health insurance, dental insurance, vision insurance, 401(k) plan, paid time off, paid holidays, parental leave, and other company-sponsored benefits.