AI Engineer

Job Description

Data Analyst, New Grad | Jobright.ai

The Tone:
This is an early career, full-time role at Jobright.ai, located remotely within the United States, with a willingness to travel for occasional team summits. Jobright.ai builds your personal AI job search agent, transforming the job search process into a fast, expert-guided journey. This role is crucial for those who want to build real, production AI agents used by real users, working at the intersection of AI, agents, and product. You will have high ownership and impact, ensuring data-driven insights are a vital part of AI agent analysis and decision-making, ultimately shaping how people experience AI-driven job search.

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

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

What You’ll Actually Do
• Insight Integration: Embed yourself directly into client and internal workflows to ensure that data-driven insights are a fundamental and vital part of AI agent analysis and all decision-making processes.
• Generate Expert Reports: Produce custom and timely data reports, complete with insightful visualizations, to deliver expert analysis for both internal product development teams and external clients.
• Manage Data Requests: Promptly and satisfactorily handle all data-related requests, effectively communicating complex findings in a clear, consistent, and professional manner to diverse audiences.
• Optimize Agent Performance: Work regularly and collaboratively with other team members and your manager to refine existing data models and continuously improve the performance of AI agents.

The Must-Haves
• Background: An early career professional, having recently graduated or with 0–2 years of experience in data analysis or a related technical field. Candidates must possess a strong foundational knowledge of statistics, core data analysis methodologies, and the logical frameworks underpinning AI and machine learning principles.
• Experience: Entry-level professional experience (0-2 years) in data analysis or a related technical field is required. You must live in and be authorized to work in the United States, with a willingness to travel for occasional team summits if agreed upon.
• Skills: Demonstrated strong communication and interpersonal skills are essential, particularly the ability to clearly and effectively explain complex data trends and findings to both highly technical and non-technical stakeholders.
• Bonus: Preferred qualifications include previous internship or project experience as a data analyst, support staffer, or researcher, especially within a tech environment or an AI-focused company. Desirable skills also include proven experience working with analytics to provide practical and digestible insights gleaned from complex data sets, along with technical proficiency in coding (such as Python/R), data modeling, and database management (SQL).