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# Data Analyst, Education -Washington, DC

- **Company:** US News
- **Location:** Washington, DC, United States
- **Contract:** Franchise
- **Skills:** Artificial Intelligence, Big Data, Data Architecture, Data Integrity, Technical Data Management Systems, Data Inconsistencies
- **Published:** July 2, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=e63259ab78977add

## About the Role

We are seeking a meticulous analyst who brings both technical proficiency and an evaluative mindset to our education research. To excel in this role, you should possess:

 * Analytical Rigor: A keen eye for detail and the ability to maintain high levels of accuracy while managing large, complex datasets.
 * Effective Communication: The skill to translate technical data findings into clear, actionable insights for non-technical stakeholders.
 * A Commitment to Excellence: A proactive approach to identifying data inconsistencies and a dedication to the prestige of the U.S. News brand.
 * An interest in Innovation: Valuing the opportunity to contribute to the development and evolution of ranking methodologies.

## Description

As a Data Analyst on our Education team, you will be a guardian of the data integrity that defines our world-renowned rankings. You will work within a specialized, collaborative team to transform raw data into the insights that help millions of students and families make informed life decisions.

Your contributions will follow the academic data cycle:

 * Data Architecture & Logic: You will spend significant time developing, refining, and executing code to process complex datasets for our signature education rankings. You will eventually contribute to ongoing refinement and validation of ranking methodologies to ensure analytical defensibility and consistency year over year.
 * Process Optimization & Automation: You will contribute to ongoing efforts to streamline data workflows, including automation of survey universe creation and improvements to production efficiency across ranking calculations and outputs.
 * Quality Assurance: You will perform rigorous audits of peer-developed code, data inputs and programming outputs, ensuring every data point meets our standards for accuracy.
 * Anomaly Detection & Validation: You will help enhance processes for identifying outliers, structural shifts, and unexpected model behavior, including exploring automated and AI-assisted methods for anomaly detection and validation.
 * Collaborative Problem Solving: You will partner with our technical, product and editorial teams to assist with website and guidebook presentation of school rankings and data, methodologies, and editorial content.


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