Norm Ai is looking to establish and own its entire data capability from the ground up to build the analytics infrastructure and insights that power its AI compliance engine and shape how the company measures, understands, and optimizes its product.
Requirements
- 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
- Analytics experience in regulated industries (FinTech, RegTech, compliance)
- Background working with enterprise compliance or legal workflows
- Startup experience with rapidly changing analytics requirements
Responsibilities
- 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
Other
- Be the first member of the Data team at Norm, establishing the team and determining what the Data practice at Norm looks like.
- 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
- B2B SaaS experience with understanding of enterprise customer analytics
- Ability to translate complex business questions into technical data solutions
