Analytics Engineer Intern

About Loop

Loop is on a mission to unlock profits trapped in the supply chain (https://loop.com/article/unlock-profit-trapped-in-your-supply-chain) and lower costs for consumers. Bad data and inefficient workflows create friction that limits working capital and raises costs for every supply chain stakeholder.

Loop’s modern audit and pay platform uses our domain-driven AI to harness the complexity of supply chain data and documentation. We improve transportation spend visibility so companies can control their costs and power profit. That is why industry leaders like J.P. Morgan Chase, Great Dane, Emerge, and Loadsmart work with Loop.

Our investors include J.P. Morgan, Index Ventures, Founders Fund, 8VC, Susa Ventures, Flexport, and 50 industry-leading angel investors. Our team brings subject matter expertise from companies like Uber, Google, Flexport, Meta, Samsara, Intuit, Rakuten, and long-standing industry leaders like C.H. Robinson.

About Role

As an  Analytics Engineer Intern at Loop, you will experience how a data-driven startup builds scalable and reliable data products. You will work cross-functionally to design, build, and deploy 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

• Develop Core Data Models and ETL Pipelines: 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.
• Automate Data Requests: Convert ad-hoc data requests into scalable, repeatable pipelines.
• Develop Data Products: Create data-driven solutions and embedded analytics to support business and product teams.

Qualifications:

• Some experience building analytical products (system, dashboard, models).
• Strong proficiency in SQL for data transformations and automation.
• Hands-on experience with modern data stack tools (e.g., Snowflake, dbt, Airflow, Looker).
• Excellent business communication skills to translate data insights into actionable business strategies.
• Bar-rasing critical analysis skills allowing for proactive identification of edge cases impacting business metrics.

Nice to Have:

• Previous experience setting up a data stack in a startup from scratch.
• Interest or experience in working with cutting-edge open-source data tools.
• Proven ability to convert ad-hoc data requests into scalable, automated pipelines.
• Proficiency with Python for data transformations and automation.
• Experience with data dashboarding and visualization tools (e.g., Tableau, Looker, Mode).

Who You Will Work With:

• EPDD (Engineering, Product, Design, and Data): Become the data expert within the EPDD organization, empowering data-driven decisions across product development and iterations.
• Strategy and Operations: Enable product delivery teams (solutioning, 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.

Compensation

• $7,000 per month

Why you should join Loop? - https://whyyoushouldjoin.substack.com/p/loop