Analytics Engineer Intern, Loop

• 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

Desirable

• 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
• 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
• 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