Analytics Engineer

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.

Responsibilities

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 tools and financial operations; Write data pipelines that power the operations of the business, such as 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

Requirements

Fluent in SQL; proficient in Python; professional experience with at least 2 of the following tools: Snowflake, dbt, dlt, Modal, Hex, PostHog; Extends work beyond just data reporting 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 (e.g. token cost optimization); Project management skills; Strong presence in the data community online and offline