Role Overview
The Customer Success Intelligence Analyst will analyze customer, dealer, product, and support data to generate actionable business insights.
What You Will Do
Analyze customer, dealer, product, and support data to identify trends, patterns, and customer pain points. Develop and test hypotheses using data to validate assumptions and support business decisions.
Why It Might Be a Fit
Candidates who can take a business hypothesis, analyze relevant data, and determine whether the evidence supports it. Strong analytical thinking and the ability to communicate findings clearly.
Requirements
- Strong data analysis and problem-solving skills
- Hypothesis-driven analysis – ability to test assumptions and support conclusions with data
- Proficiency in SQL, Python, Excel, or similar data-querying tools
- Data visualization, dashboard development, and storytelling
- Experience with knowledge graphs or connected-data models
- Hands-on experience using AI tools, building AI workflows, and agentic coding tools such as Claude Code, Codex, and GitHub Copilot
- Ability to work with incomplete data and translate business questions into actionable insights
To apply for this job please visit linkedin.com.

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