Senior Analytics Engineer — AI-Driven Data Products

Norm; New York (NY); Hybrid; USD 175,000 - 215,000; Full time

Benefits offered by this job

Equity included

401(k) with employer match

Health insurance

Dental coverage

Vision coverage

Unlimited PTO

Free lunch in office daily

Employee referral bonus program

Relocation assistance to NYC

Job summary

Norm Ai in New York City is seeking a Senior Analytics Engineer to own analytics data products and production-grade models. You will build reusable analytics components, establish governance, and work with stakeholders to deliver reliable metrics across internal teams.

The role reports to the Director of Data and collaborates with GTM and Finance; it is hands-on, combining modeling judgment with stakeholder discovery.

Qualifications

• 5+ years of analytics engineering or equivalent experience.
• Strong dimensional modeling judgment and conformed entities/facts.
• Experience delivering a metrics/semantic layer with safe data access.
• Familiarity with AI coding agents and supervising their output.
• Strong SQL and Python to understand pipelines and transformations.
• Clear technical writing for data products and model definitions.

Responsibilities

• Own analytics data products across internal functions.
• Design reusable models, metrics, and access controls.
• Turn ideas into production data products with stakeholders.
• Publish mappings, assumptions, and quality checks.
• Lead production process with SQL, dbt tests, and metadata.
• Diagnose stale results and collaborate with data engineering.
• Review modeling changes and maintain shared standards.

Skills

SQL

Python

dbt

Data modeling

Technical writing

AI coding agents

Data pipelines

Tools

Lightdash

AWS

Athena

Iceberg

Spark

Job description

Norm Ai in New York City is seeking a Senior Analytics Engineer to own analytics data products and production-grade models. You will build reusable analytics components, establish governance, and work with stakeholders to deliver reliable metrics across internal teams.

The role reports to the Director of Data and collaborates with GTM and Finance; it is hands-on, combining modeling judgment with stakeholder discovery.