AI Engineer – AI Agent Development

Job Description

Data Analyst | Jobright.ai

The Tone:
This is a professional role at Jobright.ai, located in the United States. Jobright.ai builds a personal AI job search agent that transforms the job search process into a fast, expert-guided journey for its users. This role is crucial for ensuring that data-driven insights are a vital and consistent part of how Jobright.ai’s AI agents are analyzed and how product decisions are made, impacting both internal development and external client understanding of the platform.

The TL;DR
• Role: Early Career
• Location: Remote, United States

• Team: Reports to a manager and collaborates with other team members.
• Mission: Ensure data-driven insights are a vital part of AI agent analysis and decision-making.
• Tech Stack: Python/R, SQL

What You’ll Actually Do
• Data Integration: Integrate directly into client and internal workflows to ensure data-driven insights are a vital part of AI agent analysis and decision-making.
• Reporting & Visualization: Produce custom, timely data reports and visualizations that provide expert analysis for internal product teams and external clients.
• Request Management: Handle data-related requests promptly and satisfactorily, communicating complex findings in an effective, consistent, and professional manner.
• Performance Enhancement: Collaborate regularly with team members and your manager to refine data models and improve AI agent performance.

The Must-Haves
• Background: Recent graduate or entry-level professional with a strong knowledge of statistics, data analysis methodologies, and the logical frameworks of AI and machine learning.
• Experience: 0–2 years of experience in data analysis or a related technical field.
• Skills: Strong communication and interpersonal skills, with the ability to explain data trends to both technical and non-technical stakeholders.
• Bonus:
• Previous internship or project experience as a data analyst, support staffer, or researcher within a tech environment or AI-focused company.
• Proven experience providing practical and digestible insights gleaned from complex data sets through analytics.
• Technical skills including coding (Python/R), data modeling, and database management (SQL).