Product Analyst (AI)

Location: Illinois, United States

Company

hirify.global is a U.S. travel protection company building an AI-powered platform that combines insurance, travel care, real-time information, and finance.

What you will do

• Own product analytics across the department and develop a deep understanding of customers, products, and business performance.
• Partner with Product Managers on high-impact questions, ad hoc analysis, prioritization, and product decisions.
• Define and evolve product KPIs across key journeys and flows; analyze funnels, cohorts, feature adoption, user behavior, and customer drop-offs.
• Design and analyze A/B tests, product experiments, launches, feature changes, and customer experience improvements.
• Build dashboards and recurring insights using Tableau, Mixpanel, Snowflake, dbt, and AI tools or LLM engines.
• Improve tracking, event instrumentation, and metric definitions with Data and Engineering, while communicating findings to technical and non-technical stakeholders.

Requirements

• 4+ years of experience in product analytics, business analysis, or other data-focused roles.
• Strong SQL skills and experience working with large, real-world datasets.
• Experience analyzing product funnels, cohorts, customer journeys, feature usage, experimentation, and product metrics.
• Experience with Tableau, Mixpanel, dbt, Snowflake, or similar tools.
• Strong rigor, data-quality focus, clear metric definition skills, and excellent communication with non-technical stakeholders.
• Ability to work directly with Product, Data, Engineering, and leadership stakeholders and connect product behavior with customer and business impact.

Nice to have

• Python or R experience for deeper analysis.
• Relevant academic degree or equivalent hands-on experience.
• Experience with consumer products, travel, insurance, fintech, or customer-facing digital products.
• Curiosity about applying AI to analytics and team workflows.

Culture & Benefits

• Fast-moving startup environment with real ownership and high impact.
• Cross-functional exposure to Product, Data, Engineering, and leadership.
• Focus on moving quickly without compromising analytical accuracy.
• Opportunity to help shape how AI is used across the team.