Data Analyst (AI)

TL;DR

Data Analyst (AI): Building and refining the analytics framework for an AI-native employee benefits workspace with an accent on ROI narrative, product metrics, and executive reporting. Focus on translating complex insurance data into actionable insights for internal stakeholders and external executive sponsors.

Location: Must be based in the United States

Compensation: $70,000 – $100,000

Company

hirify.global is an AI-powered workspace for employee benefits, backed by Y Combinator, focused on modernizing group insurance and benefits management.

What you will do

• Define and refine metrics that demonstrate product value and ROI to external stakeholders.
• Lead product analytics by building reporting frameworks for engagement, adoption, and outcomes.
• Design intuitive, visually compelling data dashboards in collaboration with Data Engineering.
• Partner cross-functionally with Product, Sales, and Leadership to surface actionable data insights.
• Present complex findings to senior leadership and external executive sponsors with clarity and confidence.
• Define and track performance metrics for AI-driven product features.

Requirements

• 4–6 years of experience in a data analyst or product analytics role.
• Strong proficiency in SQL and experience with BI tools like Metabase.
• Experience in insurance, employee benefits, or a related industry.
• Demonstrated ability to build technically rigorous and visually clear dashboards.
• Experience translating business goals into data requirements and presenting to executive audiences.
• Must be authorized to work in the U.S. and comfortable with a fast-paced startup environment.

Nice to have

• Experience at a B2B SaaS or HR tech company.
• Familiarity with dbt or data modeling concepts.
• Experience building external-facing client analytics products.
• Background in financial wellness or healthcare.
• Experience analyzing AI-powered products.

Culture & Benefits

• Foundational ownership of the company's data and analytics strategy.
• Strategic impact on forecasting and go-to-market execution.
• Learning budget for professional development.
• Paid Time Off (PTO) and flexible work environment.
• Opportunity to grow into a senior analytics leadership role.

Hiring process

• Silver screening and technical interviews.
• Client screening interview.
• Take-home assignment and panel review.