Analytics Engineer: AI Data & Cost Optimization

Mixpeek; New York, Northern (NY, KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Modal is building the data analytics stack to support AI-driven self-serve analysis, key metrics tracking, and external customer reporting.

We’re growing our Data team to build self-serve data tools and drive business strategy with evidence-backed decisions, embedding with teams as data advisers.

Ideal candidates have SQL, Python, and experience with Snowflake, dbt, dlt, Modal, Hex, or Posthog, and a passion for turning data into action.

Qualifications

• SQL fluency and Python proficiency are required.
• Experience with at least 2 of Snowflake, dbt, dlt, Modal, Hex, Posthog is preferred.
• Ability to translate data work into actionable impact.

Responsibilities

• Contribute to building the most modern analytics stack to support AI-driven self-serve analysis and key metrics tracking.
• Influence work on products like LLM Inference Endpoints through product analytics tracking.
• Identify cost savings and optimization across tools and financial operations.
• Write data pipelines powering operations like cloud compute economics or sales comp.
• Create foundational datasets for use by people and AI tools.

Skills

SQL fluency

Python proficiency

Tools

Snowflake

dbt

dlt

Modal

Hex

Posthog

Job description

Modal is building the data analytics stack to support AI-driven self-serve analysis, key metrics tracking, and external customer reporting.

We’re growing our Data team to build self-serve data tools and drive business strategy with evidence-backed decisions, embedding with teams as data advisers.

Ideal candidates have SQL, Python, and experience with Snowflake, dbt, dlt, Modal, Hex, or Posthog, and a passion for turning data into action.