Data Analyst

About Norm Ai

Norm Ai is the Compliance AI Platform for legal standards-based reasoning & workflow automation.

We developed the first Domain Specific Language (DSL) for fully representing regulatory requirements in AI code. This DSL, deployed with our enterprise platform, enables Norm clients to transform workflows and apply compliance checks at the source of business activities.

By building and deploying Government-Grade Regulatory AI, we are setting the norms for compliance processes at the largest institutions in the world, and laying the groundwork for the deployment of AI agents more broadly in highly regulated workflows. Our client base includes firms with a combined $30 Trillion in AUM, and growing quickly.

Our Software Engineers came from Palantir, Google, Meta, AWS, Harvard, Stanford, and MIT. Our Legal Engineers are from Harvard Law, Stanford Law, Yale Law, Sullivan & Cromwell, Simpson Thacher, Davis Polk, Greenberg Traurig, the SEC, and FINRA.

We have raised capital over the past 18 months from Vanguard, Blackstone, Bain Capital, Coatue, Craft Ventures, New York Life, Citi, TIAA, Larry Summers, and Marc Benioff.

This Role

As our first Data Analyst at Norm, you will establish and own our entire data capability from the ground up. You'll build the analytics infrastructure and insights that power our AI compliance engine and shape how we measure, understand, and optimize our product. Working directly with our Product, Engineering, and Executive teams, you will translate complex Compliance and Legal Engineering workflows into actionable data insights while building the foundation for future analytics initiatives.

You Will:

• Be the first member of the Data team at Norm, establishing the team and determining what the Data practice at Norm looks like.

• Build end-to-end data infrastructure from scratch, including pipelines, warehousing, and ETL/ELT processes

• Implement comprehensive product analytics to understand how enterprise clients use our AI-driven compliance workflows

• Create measurement frameworks for evaluating AI model performance in real-world legal and compliance contexts

• Design and implement self-service analytics capabilities using modern tools like Hex for visualization and dbt for semantic modeling

• Set up and maintain data pipelines using tools like Fivetran and orchestration platforms like Airflow

• Establish data governance practices that meet enterprise security and regulatory compliance requirements

• Build dashboards and KPIs that drive strategic product and business decisions

Skills & Experience - Core

• 5-7 years of analytics experience, ideally with 1-2 years of data engineering exposure

• Strong analytical background with experience at small startups where you've worn multiple data hats

• Proficiency with SQL, Python, and modern data stack tools (dbt, Fivetran, Hex, Airflow)

• Experience with cloud data warehouses (Snowflake, BigQuery, Redshift)

• Experience building analytics from scratch at early-stage companies

• B2B SaaS experience with understanding of enterprise customer analytics

• Ability to translate complex business questions into technical data solutions

Skills & Experience - Pluses

• Analytics experience in regulated industries (FinTech, RegTech, compliance)

• Background working with enterprise compliance or legal workflows

• Startup experience with rapidly changing analytics requirements

What Success Looks Like - 30 Days

• Develop comprehensive understanding of our product and current data landscape

• Set up foundational data infrastructure and begin implementing core analytics tracking

• Document our data requirements and create a roadmap for analytics capabilities

• Establish relationships with key stakeholders across Product, Engineering, and Business teams

What Success Looks Like - 60 Days

• Deploy production data pipelines and establish reliable data collection across the platform

• Launch initial set of product analytics dashboards for user behavior and AI model performance

• Begin analysis of compliance workflow patterns to identify optimization opportunities

• Create self-service analytics capabilities for the broader team

Comp and Benefits

$160,000 - $190,000 annually

The range displayed in this job posting reflects the minimum and maximum target for new hire salary for this