Live opening · Posted 1 day ago

Data Analyst, AI Agent Analytics — New Grad

Jobright.ai · United States (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyJobright.ai
LocationUnited States (Remote)
Work modeYes
SourceLinkedin
Listed1 day ago

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About the role

Description supplied by the original job listing.

Jobright is your personal AI job search agent that transforms the way you do job search from solo, time-consuming efforts to a fast, expert-guided journey, simplifying every job search step and accelerating your route to the best job outcomes. As a New Grad Data Analyst focused on AI Agent Analytics, you will measure agent quality, understand user interactions, and turn complex behavioral data into insights that improve our AI systems.
Why Join Us
• Build real, production AI agents used by real users
• High ownership and impact
• Work at the intersection of AI, agents, and product
• Shape how people experience AI-driven job search
Responsibilities
• Define metrics for agent task completion, quality, latency, reliability, and cost
• Analyze agent conversations, tool usage, errors, and user feedback
• Build SQL queries, dashboards, and recurring reports
• Identify failure patterns and improvement opportunities
• Support experiments involving prompts, models, tools, and workflows
• Present actionable recommendations to AI and product teams
Qualification
Required
• Recent graduate in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field
• Strong SQL skills and familiarity with Python
• Understanding of statistics, experimentation, and data visualization
• Strong analytical and communication skills
• Ability to work effectively in a remote environment
Preferred
• Experience analyzing LLM, chatbot, or agent interactions
• Familiarity with product analytics or event-tracking systems
• Experience with pandas, Tableau, Looker, or similar tools
• Interest in AI evaluation, prompt engineering, or human-AI interaction

Work arrangement
Yes

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