Senior Data Analyst

Reposted 16 Days Ago
New York City, NY
In-Office
160K-190K Annually
Senior level
Artificial Intelligence • Software
The Role
As the first Data Analyst at Norm Ai, you will build data infrastructure, create analytics frameworks, and drive insights for compliance AI workflows.
Summary Generated by Built In

About Norm Ai

Norm Ai, the leading Legal & Compliance AI company, has a client base with a combined $30 trillion in assets under management. By turning legal code into AI code, Norm enables enterprises to move faster and more comprehensively in their legal and compliance processes with reliability and trust.

Norm’s platform combines frontier AI, proprietary legal reasoning systems, and embedded legal and regulatory expertise.

We have recently raised more than $140 million, backed by Blackstone, Bain Capital, Vanguard, Citi, New York Life, TIAA, Coatue, Craft Ventures, Henry R. Kravis (KKR co-founder), and Marc Benioff (Salesforce CEO).

Norm Ai pioneered Legal Engineering, the process that empowers lawyers to build and supervise domain-specific AI agents with Norm’s proprietary suite of no-code software tools. We hired dozens of lawyers from premier U.S. law firms and trained them as Legal Engineers, who specialize in Large Language Model powered legal workflows.

Norm Ai technology is deployed inside many of the largest and most consequential institutions in the world. The company is growing quickly and hiring across all teams.

This Role

As a Data Analyst at Norm, you will join our growing data team to build and scale our analytics capabilities. You'll develop data infrastructure and insights that power our AI compliance engine and shape how we measure, understand, and optimize our product. Working directly with our Director of Data and cross-functional partners in Product, Engineering, and Executive teams, you will translate complex Compliance and Legal Engineering workflows into actionable insights while helping establish best practices and foundations for our expanding analytics function.

You Will:

  • 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 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

  • Assist in setting 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 position. Within the range, individual pay is determined by various factors, including job-related skills (as uncovered during the interview process), experience, and relevant education or training. Please note that the compensation details listed here reflect the base salary only, and do not include equity or benefits. We offer a competitive salary along with equity compensation. Our comprehensive benefits package includes a 401(k) plan with an employer match. Employees enjoy top-tier insurance coverage, encompassing health, dental, hospital, accident, and vision plans. For candidates needing to relocate to NYC, we provide relocation reimbursement. You'll thrive in our fast-paced learning environment where professional growth is constant.

We embrace a hybrid model, typically in-office 4-5 days per week.

To learn more about Norm Ai, visit our website.

Top Skills

Airflow
BigQuery
Dbt
Fivetran
Hex
Python
Redshift
Snowflake
SQL
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The Company
HQ: New York, New York
99 Employees

What We Do

We have developed the leading Regulatory AI platform, which is deployed across many of the largest institutions in the world.

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