Jobright.ai logo

Data Analyst, New Grad

Jobright.ai
Department:Data Analysis
Type:REMOTE
Region:San Jose, CA
Location:United States
Experience:Entry Level
Skills:
SQLPYTHONSPREADSHEETSSTATISTICSDATA ANALYSISEXPERIMENTATIONPANDASSCIKIT-LEARNTABLEAULOOKER
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Job Description

Posted on: August 23, 2026

Jobright is your personal AI job search agent that transforms the way you do job search from solo, time-consuming efforts to a fast, expert-guided journey, simplifying every job search step and accelerating your route to the best job outcomes. As a Data Analyst, New Grad, you will turn product, job market, and user data into actionable insights that improve search, recommendations, and user experience.


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


• Analyze product, user, and job market data to identify trends and opportunities

• Write SQL queries and build recurring reports or dashboards

• Define and monitor key product and business metrics

• Support A/B tests and evaluate the impact of new features

• Investigate data quality issues and improve reporting accuracy

• Present findings clearly to product, engineering, and business stakeholders

Qualification


Required


• Recent graduate or graduating soon in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field

• Strong SQL skills and familiarity with spreadsheets or Python

• Understanding of basic statistics, data analysis, and experimentation

• Strong attention to detail and problem-solving skills

• Ability to work remotely within the United States


Preferred


• Experience with pandas, scikit-learn, Tableau, Looker, or similar tools

• Familiarity with product analytics, recommendation systems, or search

• Experience working with large or messy datasets

• Previous internship, research, or analytics project experience

Originally posted on LinkedIn

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