AI Engineer – AI Agent Development

Job Description

Data Analyst, New Grad | Jobright.ai

The Tone:
This is an early career role at Jobright.ai, located remotely in the United States. Jobright.ai builds a personal AI job search agent designed to transform the job search process into a fast, expert-guided journey. This role is crucial for integrating data-driven insights directly into the analysis and decision-making process for AI agents, impacting both internal product development and external client engagements. You will contribute to shaping how people experience AI-driven job search by ensuring that all decisions are informed by clear, accurate data.

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

• Team: Reports to a manager and collaborates with other team members
• Mission: Ensures data-driven insights are a vital part of AI agent analysis and decision-making for internal and external stakeholders
• Tech Stack: Python, R, SQL, data modeling

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

The Must-Haves
• Background: Recent graduate or entry-level professional with 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, including previous internship or project experience as a data analyst, support staffer, or researcher within a tech environment or AI-focused company.
• Skills: Strong communication and interpersonal skills, with the ability to explain data trends to both technical and non-technical stakeholders, along with technical skills in coding (Python/R), data modeling, and database management (SQL).
• Bonus: Proven experience working with analytics to provide practical and digestible insights gleaned from complex data sets, and a willingness to travel for occasional team summits if agreed upon.