Analyst/ Senior Analyst - Legal Analytics & AI

Snowflake•Menlo Park, CA

About The Position

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

Requirements

3+ years of experience in analytics, data engineering, or a related field where you've owned data products end to end
Strong SQL skills, including writing complex queries and considering performance, grain, and correctness
Familiarity with the modern data stack: tools like dbt, Airflow, and Git as part of a collaborative engineering workflow
Experience working directly with non-technical stakeholders, translating business questions into data models and explaining technical concepts without jargon
Data quality instincts, including validating work against source systems and checking numbers before shipping
Curiosity about AI and its future, with an excitement for building AI products

Nice To Haves

Hands-on experience with Snowflake Cortex, LLM-powered analytics tools, or building conversational data experiences
Familiarity with Streamlit for building lightweight internal apps and dashboards
Exposure to Legal Operations data (matter management, legal spend, or outside counsel analytics)
Python experience for data pipelines, scripting, or automating reporting workflows
Experience designing access controls for sensitive data (privileged legal information and confidential business data)

Responsibilities

Build AI-powered experiences for Legal teams using Snowflake Cortex and other tools, designing and delivering conversational analytics experiences.
Own the full stack for AI experiences: the data layer, the logic that shapes AI knowledge, and the quality bar for trustworthiness.
Co-own the data foundations with Analytics Engineering, including scoping data models, translating stakeholder requirements, validating outputs, and ensuring access controls.
Translate stakeholder needs into working products by partnering with Legal Operations and employment counsel to understand their questions and turning them into structured data models, AI skill definitions, and dashboards.
Deliver actionable legal insights to stakeholders that influence decisions, such as tracking outside counsel spend, flagging expiring contracts, or analyzing task backlogs.
Maintain rigor as AI experiences scale by owning testing, validation, and quality checks to ensure outputs align with source systems and business definitions.
Contribute to access and security design by helping to design and maintain the role-based access model for sensitive Legal data, including secure views, row-level policies, and data sensitivity controls.