Loop

Analytics Engineer

Chicago

Sponsorship not specified$140k-$160kDetected 26 days ago

PythonSQLSnowflakeAirflowdbtData EngineeringData VisualizationSupply ChainLogisticsCommunication

About the role

As an Analytics Engineer at Loop, you will play a pivotal role in maturing the data organization.
These systems will enable both internal and client facing analytics, accelerating data-driven decision-making throughout the company and our clients.
This is an in-person role based in one of our Chicago, SF, or New York offices, with the expectation of being onsite 4+ days per week.

Own Core Data Models and ETL Pipeline s: Design, build, and maintain Loop's core data models and ETL processes.
Maintain Data Quality and Uptime: Ensure data accuracy and reliability with strong SLAs.
Optimize Data Infrastructure: Manage and optimize data infrastructure for performance, cost, and compliance.
Develop Data Products: Create data-driven solutions and embedded analytics to support business and product teams.
Design, build, and maintain Loop's core data models and ETL processes.
Manage and optimize data infrastructure for performance, cost, and compliance.
You'll work cross-functionally across Engineering, Product, Design, Strategy & Operations, and AI Platform teams to design, build, and own the core infrastructure and data models.
Today, Loop serves >20% of the Fortune 100, manages over $30B in supply chain spend, and helps its clients save hundreds of millions of dollars each year.

Strong proficiency in SQL and Python for data transformations and automation.
Hands-on experience with modern data stack tools (e.g., Snowflake, dbt, Dagster, Airflow, Looker).
Experience with data dashboarding and visualization tools (e.g., Tableau, Looker, Superset, Mode).
2+ years experience building analytical products (system, dashboard, models).
Excellent business communication skills to translate data insights into actionable business strategies.
Ability to manage, optimize, and scale data infrastructure.

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.
This range reflects the base pay that Loop reasonably expects to pay for the position at the time of hire.

The base pay range for this role is $140,000 to $160,000 annually.
This range reflects the base pay that Loop reasonably expects to pay for the position at the time of hire.
Actual compensation will depend on job-related factors, including experience, skills, qualifications, location, and business needs.
In addition to base salary, this role may be eligible for equity.

We recently closed a $95M Series C and are backed by leading investors including Valor Equity Partners, Founders Fund, 8VC, Index Ventures, J.P. Morgan, and more than 50 industry-leading angel investors.
This role is also eligible for Loop's benefits, including health, dental, and vision insurance, 401(k) match, paid time off, paid holidays, and parental leave.

Our team brings deep expertise from Uber, Google, Microsoft, Meta, Amazon, Flexport, C3 AI, VMware, Box, UPS, and C.H. Robinson and we're looking for builders who want to help shape what comes next.

Loop is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.
Why you should join Loop?
Loop is an equal opportunity employer.
We celebrate diversity and are committed to creating an inclusive environment for all employees.

This listing is sourced directly from Loop's careers page and normalized into a canonical job model.