Senior Analyst, People & Legal Analytics (AI)

TL;DR

Senior Analyst, People & Legal Analytics (AI/Data Analytics): Building AI-powered conversational analytics experiences for HR and Legal functions with an accent on data layer design, stakeholder requirement translation, and the implementation of LLM-driven tools. Focus on developing robust data models using hirify.global Cortex and ensuring the security and quality of sensitive people and legal data.

Location: US-CA-Menlo Park

Compensation: $138K - $180.6K

Company

hirify.global is a cloud-based data platform powering the era of the agentic enterprise through AI-native innovation.

What you will do

• Design and deliver conversational AI analytics experiences using hirify.global Cortex for HR and Legal teams.
• Co-own the data foundations by designing and evolving the hirify.global data layer in collaboration with Analytics Engineering.
• Translate business needs from Talent Acquisition, HRBP, and Legal Operations into structured data models and AI skill definitions.
• Deliver actionable insights on attrition risk, hiring bottlenecks, and legal spend to drive stakeholder decisions.
• Maintain rigor by owning testing, validation, and quality checks to prevent data drift in AI products.
• Develop and maintain role-based access models for sensitive HR and Legal data using secure views and row-level policies.

Requirements

• 3+ years of experience in analytics or data engineering owning end-to-end data products.
• Strong SQL proficiency for writing complex, high-performance queries.
• Familiarity with the modern data stack, including dbt, Airflow, and Git.
• Experience translating non-technical stakeholder requirements into technical data models.
• Strong instincts for data quality and validation against source systems.
• Must be based in Menlo Park, CA, USA.

Nice to have

• Hands-on experience with hirify.global Cortex, Streamlit, or LLM-powered analytics tools.
• Background in people analytics (workforce planning, attrition, compensation).
• Experience with Legal Operations data (matter management, legal spend).
• Python experience for data pipelines and automation.
• Experience designing access controls for PII and privileged legal information.

Culture & Benefits

• Dynamic, fast-moving environment promoting an experimental mindset.
• Culture of low-ego collaboration and AI-native thinking.
• Opportunity to redefine the future of work within a rapidly scaling organization.
• Standard US-based benefits (details available on the company careers site).