Sr. Experience Intelligence Analyst

Day in Life:

This role is a corporate Customer Experience position responsible for helping Hertz build a more modern, data-driven, and action-oriented understanding of the customer experience.

The Sr.

Analyst will analyze customer feedback, operational performance, transaction data, and customer behavior to identify where the experience is working, where it breaks down, and what actions can improve customer and business outcomes.

The ideal candidate is a strong analyst who is curious, AI-forward, comfortable working with messy data, and able to connect structured and unstructured customer signals with business data to develop clear insights, recommendations, and measurable impact.

In practice, this may include analyzing customer experience performance, reviewing survey verbatims and service interactions, connecting feedback to operational or transactional data, using SQL and modern data tools to investigate root causes, leveraging AI tools to accelerate analysis and synthesis, building repeatable reporting views, and preparing clear recommendations that help cross-functional teams improve the customer experience.

This position starts at $100K commensurate of experience.

• Analyze customer feedback, operational data, transaction data, and customer behavior to identify patterns, root causes, and improvement opportunities.
• Synthesize structured and unstructured feedback from surveys, service interactions, reviews, and other listening sources.
• Develop clear measurement approaches, KPIs, and analytical frameworks to quantify customer experience performance and business impact.

Translate complex data and customer signals into concise insights, recommendations, and next steps business partners can act on.

Clearly communicate what is known, what is still a hypothesis, where data limitations exist, and what actions should follow.

• Partner cross-functionally to connect insights to practical actions, accountable owners, and measurable outcomes.

Use SQL, modern data platforms, data visualization tools, and AI-enabled workflows to improve speed, quality, scalability, and repeatability of analysis.

• Build dashboards, reporting views, analytical tools, and reusable data assets that help leaders monitor performance and identify where and when action is needed.