Live opening · Posted 2 days ago

Product Analyst, Entry Level

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

The key details from the original listing.

Posted 2 days ago
CompanyJobright.ai
LocationUnited States (Remote)
Work modeYes
SourceLinkedin
Listed2 days 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. The Entry-Level Product Analyst will help teams understand user experiences with AI-powered job-search products by analyzing product behavior, defining metrics, supporting experiments, and turning data into actionable recommendations.
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
• Analyze user journeys, feature adoption, engagement, and retention
• Build and maintain product dashboards and recurring metric reports
• Help define events, funnels, cohorts, and product success metrics
• Support experiment design, measurement, and post-launch analysis
• Investigate changes in user behavior and identify actionable patterns
• Check data quality and collaborate on analytics instrumentation
• Present concise findings and recommendations to product stakeholders
Qualification
Required
• Bachelor's degree or equivalent experience in Analytics, Statistics, Economics, Computer Science, Business, or a related field
• Strong quantitative reasoning and attention to detail
• Experience using spreadsheets and analyzing structured datasets
• Ability to communicate findings clearly to technical and nontechnical audiences
• Ability to collaborate effectively in a remote environment
Preferred
• Familiarity with SQL and product-analytics or BI tools
• Understanding of funnels, cohorts, A/B testing, and basic statistics
• Exposure to Python, R, data visualization, or event instrumentation
• Previous internship, project, or coursework in product analytics

Work arrangement
Yes

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