Analytics Engineer

The role

You will build self-serve data tools and drive business strategy. You will contribute to a modern analytics stack, write data pipelines, and create foundational datasets for people and AI tools.

What you will do

• Contribute to building a modern analytics stack to support AI-driven self-serve analysis, key metrics tracking, and external customer reporting
• Influence work on new products through product analytics tracking
• Identify cost savings and optimization across tools and financial operations
• Write data pipelines that power business operations
• Create foundational datasets for product use cases, financial reporting, and marketing campaigns

Required qualifications

• Fluent in SQL
• Proficient in Python
• Professional experience with at least 2 of the following tools: Snowflake, dbt, dlt, Modal, Hex, PostHog
• Extend work beyond just data reporting and into action and impact
• High attention to detail
• Excellent and precise communicator
• Personable and great at building relationships

Nice to have

• Experience with AI products, especially LLM inference and sandboxes
• Experience in fin ops, fraud, sales ops, or risk, especially in the context of AI
• Project management skills
• Strong presence in the data community online and offline

About the company

Modal is building a new infrastructure layer for AI. The company has passed $1B in annualized run rate and includes creators of popular open-source projects.