Analytics Engineer

Salary

$150,000 - $250,000

Location

New York, NY

Posted

Today

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

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