Analytics Engineer

The Role

We’re growing our Data team and are looking for our first few key hires to build self-serve data tools and drive business strategy in the right direction.

The mission of the Modal Data team is to make it easy to track company goals, make evidence-backed decisions, and prioritize the right work. We do this via:

• Self-serve AI analytics tools (Hex, Snowflake)
• Embedding with teams as a “data adviser,” providing strategic analysis and consulting

What You'll Work On

• Contribute to building the most modern analytics stack in data today to support AI-driven self-serve analysis, key metrics tracking, and external customer reporting
• Influence work on new products like LLM Inference Endpoints through product analytics tracking
• Identify millions of dollars of cost savings and optimization across our tools and financial operations
• Write data pipelines that power the operations of our business, such as our cloud compute economics or sales comp
• Create foundational datasets that can be used by people and AI tools to answer questions around product use cases, financial reporting, and marketing campaigns

You May Be a Fit If

• You’re fluent in SQL and proficient in Python
• You have professional experience with at least 2 of the following tools: Snowflake, dbt, dlt, Modal, Hex, PostHog
• You extend your work beyond just data reporting and into action and impact
• You have high attention to detail
• You’re an excellent and precise communicator
• You’re 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 (e.g. token cost optimization)
• Project management skills
• Strong presence in the data community online and offline