Data Analyst: Rankings & Data Integrity (Onsite DC)

US News & World Report, L.P.; Washington (District of Columbia); On-site; USD 65,000 - 90,000; Full time

Job summary

U.S. News & World Report, L.P. is seeking a Data Analyst in Washington, DC onsite to safeguard the integrity of the data behind the organization’s education rankings. The role involves turning complex inputs into insights that support students and families while refining ranking methodologies over time.

You’ll develop code for complex datasets, validate methods, and collaborate with editorial and product teams to ensure transparent presentation of rankings and data in the guidebook.

Qualifications

• Strong attention to detail with the ability to maintain high accuracy on large datasets.
• Ability to communicate technical findings clearly to non-technical stakeholders.
• Proactive in spotting data inconsistencies while respecting brand prestige.
• Motivation to contribute to evolving ranking methodologies over time.

Responsibilities

• Develop, refine, and execute code that processes complex datasets supporting U.S. News education rankings.
• Support refinement and validation of ranking methodologies to ensure consistency year over year.
• Streamline data workflows by automating components of survey universe creation and improving production efficiency.
• Conduct rigorous audits of peer-developed code, data inputs, and outputs to ensure accuracy standards are met.
• Improve processes for identifying outliers, structural shifts, and unexpected model behavior including anomaly detection approaches.
• Collaborate with technical, product, and editorial teams to present rankings and data on the website and guidebook.

Skills

Attention to detail

Data communication

Data quality

Analytical mindset

Job description

U.S. News & World Report, L.P. is seeking a Data Analyst in Washington, DC onsite to safeguard the integrity of the data behind the organization’s education rankings. The role involves turning complex inputs into insights that support students and families while refining ranking methodologies over time.

You’ll develop code for complex datasets, validate methods, and collaborate with editorial and product teams to ensure transparent presentation of rankings and data in the guidebook.