Senior Data Analyst, Norm AI
$160-190k
Offers equity
More information about location
3-4 days a week in office
Regulatory AI agents for compliance teams
Be an early applicant
Regulatory AI agents for compliance teams
1-20 employees
Be an early applicant
$160-190k
Offers equity
More information about location
3-4 days a week in office
1-20 employees
Company mission
To enable the integration of AI agents into daily life, ensuring that AI-driven business processes adhere to legal and societal norms through adoption of Regulatory AI agents as oversight.
Role
Who you are
- 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
Desirable
- Analytics experience in regulated industries (FinTech, RegTech, compliance)
- Background working with enterprise compliance or legal workflows
- Startup experience with rapidly changing analytics requirements
What the job involves
- 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
- 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
- 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
Our take
Regulatory compliance is both critical and complex. Risks and regulations are constantly evolving, and compliance teams can struggle to keep up. This is where Norm AI steps in, with a platform to support the work of compliance teams and help them work faster, smarter and more efficiently.
The platform works by delivering regulation-aware AI agents, built specifically to handle the problems compliance teams face. The agents enable proactive compliance, supplying reports that check compliance against the most up-to-date versions of regulations such as the Clean Air Act and Social Security Act.
In the future, Norm AI hopes to expand the offering to cover all relevant laws and regulations. Its an ambitious goal, but one that is supported by a substantial amount of investment. With these funds, the company will continue to expand its platform and grow both its client base and team.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Mar 2025
$48m
EARLY VC
Jun 2024
$27m
SERIES A
Total funding: $86.1m
Company benefits
- Equity
- 401(k) with the highest match legally allowed
- Top-tier health, dental, hospital, accident and vision insurance
- Relocation reimbursement to move to NYC
- Fast-paced learning environment
Company HQ
Downtown Brooklyn, NY
Leadership
John Nay
(CEO)Fellow at CodeX, The Stanford Center for Legal Informatics. Also a Visiting Scholar in Artificial Intelligence and Law at Vanderbilt University Law School, and Co-founder and Chairman of the Brooklyn Investment Group (where they were previously CEO).
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