Remote Entry-Level Product Analyst — AI Analytics

Jobright.ai; United States; Remote; USD 42,000 - 54,000; Full time

Job summary

Jobright seeks an Entry-Level Product Analyst to 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.

The role emphasizes quantitative reasoning, collaboration, and clear communication across technical and nontechnical audiences in a remote environment. You will contribute to dashboards and product success metrics.

Qualifications

• 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.

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

Skills

Strong quantitative reasoning and attn

Spreadsheets expertise

Clear communication to diverse teams

Remote collaboration

Education

Bachelor's degree or equivalent in Analytics, Statistics, Economics, CS, Business, or related

Tools

SQL

Product analytics tools

Data visualization

Event instrumentation

Job description

Jobright seeks an Entry-Level Product Analyst to 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.

The role emphasizes quantitative reasoning, collaboration, and clear communication across technical and nontechnical audiences in a remote environment. You will contribute to dashboards and product success metrics.