Analytics Engineer

ABOUT THE DATA TEAM:

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 DO:

- Contribute to building the most modern analytics stack https://modal.com/blog/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 https://modal.com/blog/qwen3-8-2-4t-a95b-now-available-on-modal 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

WHAT YOU SHOULD HAVE:

- SQL fluency, Python proficiency

- Professional experience with at least 2 of the following tools: Snowflake, dbt, dlt, Modal, Hex, Posthog

- Ability to extend their work beyond just data reporting and into action and impact

- High attention to detail

- Excellent and precise communicator

- Strong personability and relationship building skills

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