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Jobright.ai

Data Analyst, New Graduate

Jobright.ai

United States · 全职

抢先申请

经验
最长2年
薪水
职位空缺
1
发布
13 小时前
工作模式
在办公室
学历
任何毕业生
合格
Open to recent graduates or early-career professionals authorized to work in the United States, willing to travel occasionally for team summits if agreed upon.
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职位描述

About the Company

Jobright.ai serves as a personalized AI job search assistant that revolutionizes the job hunting experience, making it faster and guided by expert insights.

Why Work with Us

  • Create real AI agents deployed in production and utilized by actual users
  • High levels of ownership and influence on projects
  • Work where AI, agent technologies, and product development intersect
  • Help define how people engage with AI-enabled job search technologies

Key Responsibilities

  • Embed yourself closely with client and internal workflows to ensure data-driven insights guide AI agent analysis and decision-making
  • Design and deliver customized, timely reports and visual data representations that offer expert analysis for product teams and clients alike
  • Respond promptly and efficiently to data requests, conveying complex insights in a clear, consistent, and professional manner
  • Collaborate with managers and other team members regularly to enhance data models and improve agent performance

Qualifications

Required

  • Recent graduate or early-career professional with up to two years' experience in data analysis or a related technical discipline
  • Strong communication and interpersonal capabilities, able to translate data trends for both technical and non-technical audiences
  • Solid understanding of statistics, data analysis approaches, and foundational AI and machine learning logic
  • Must reside in the United States with authorization to work and be open to occasional travel for team meetings if needed

Preferred

  • Past internship or project experience in roles such as data analyst, support, or research within technological or AI-centric environments
  • Demonstrated ability to turn complex datasets into practical and easily understandable analytics
  • Technical proficiency with programming languages like Python or R, data modeling techniques, and database systems such as SQL

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