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Analytics Engineer

Loop LogoLoop
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Salary

$135,000 - $155,000

Location

Chicago, IL

Posted

Yesterday

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.

What you will do

  • Own Core Data Models and ETL Pipelines: 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.
  • Maintain Data Quality and Uptime: Ensure data accuracy and reliability with strong SLAs.
  • Automate Data Requests: Convert ad-hoc data requests into scalable, repeatable pipelines.
  • 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.

Qualifications

  • 2+ years experience building analytical products (system, dashboard, models).
  • 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).
  • Excellent business communication skills to translate data insights into actionable business strategies.
  • Experience with data dashboarding and visualization tools (e.g., Tableau, Looker, Superset, Mode).
  • Ability to manage, optimize, and scale data infrastructure.

Nice to have

  • 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.

Who you will work with

  • EPD (Engineering, Product, and Design): Become the data expert within the EPD organization, empowering data-driven decisions across product development and iterations
  • Strategy and Operations: Enable product delivery teams (solutions, analyst) to deliver value to customers through actionable dashboards, metrics, and self-service reports
  • AI Platform: Expedite the development of new models and training of existing models by simplifying the necessary data cleansing and preparation

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