12 days ago

Data Analyst New Grad

Jobright.ai

Hybrid
Full Time
$80,000
Hybrid

Job Overview

Job TitleData Analyst New Grad
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$80,000
LocationHybrid

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Job Description

About the Role

Jobright.ai is seeking a Data Analyst New Grad to work at the intersection of AI, agents, and product. You will be directly integrated into client and internal workflows, ensuring data-driven insights guide AI agent analysis and decision-making.

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 with client and internal workflows for data insights
  • Produce custom, timely data reports and visualizations
  • Communicate complex findings effectively
  • Collaborate with team members to refine data models

Qualifications

Required: Recent graduate or entry-level professional with 0–2 years of experience in data analysis or related technical field; strong communication skills; solid foundation in statistics, data methodologies, and basic AI concepts; must live and be authorized to work in the United States and travel for team summits if needed.

Preferred: Internship or project experience in tech or AI-focused environments; coding skills (Python/R), data modeling, and SQL database management.

Key skills/competency

  • Data Analysis
  • AI
  • Python
  • SQL
  • Visualization
  • Statistics
  • Communication
  • Data Reporting
  • Technical Skills
  • Problem Solving

Tags:

Data Analyst New Grad
data analysis
AI
Python
SQL
visualization
statistics
entry-level
data reporting
data modeling
interpersonal communication
client integration
reporting

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How to Get Hired at Jobright.ai

  • Customize your resume: Tailor skills to data analysis and AI.
  • Highlight technical skills: Emphasize Python, SQL, and visualization.
  • Showcase project experience: Include internships and analytics projects.
  • Prepare for interviews: Be ready to discuss statistics and data insights.

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