
Data Analyst, New Grad
Department:Technical Support
Type:REMOTE
Region:USA
Location:United States
Experience:Entry level
Estimated Salary:$60,000 - $80,000
Skills:
DATA ANALYSISSTATISTICSPYTHONRSQLDATA MODELINGDATABASE MANAGEMENTMACHINE LEARNINGAI
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Job Description
Posted on: March 8, 2026
Jobright is your personal AI job search agent that transforms the job search process into a fast, expert-guided journey. They are seeking an AI Engineer to build and scale business-facing AI agents, managing the entire lifecycle from prototype to production.
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
- Integrate yourself directly into client and internal workflows to ensure data-driven insights are a vital part of AI agent analysis and decision-making
- Produce custom, timely data reports and visualizations that provide expert analysis for both internal product teams and external clients
- Handle data-related requests promptly and satisfactorily, communicating complex findings in an effective, consistent, and professional manner
- Report to a manager and work regularly with other members of the team to refine data models and agent performance
Qualification
Required
- Recent graduate or entry-level professional with 0–2 years of experience in data analysis or a related technical field
- Strong communication and interpersonal skills, with the ability to explain data trends to both technical and non-technical stakeholders
- A strong knowledge of statistics, data analysis methodologies, and the logical frameworks of AI and machine learning
- Must live in and be authorized to work in the United States, with a willingness to travel for occasional team summits if agreed upon
Preferred
- Previous internship or project experience as a data analyst, support staffer, or researcher within a tech environment or AI-focused company
- Proven experience working with analytics to provide practical and digestible insights gleaned from complex data sets
- Technical skills such as coding (Python/R), data modeling, and database management (SQL)
Originally posted on LinkedIn
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