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U.S. News & World Report is a multifaceted digital media company dedicated to helping citizens, consumers, business leaders and policy officials make important decisions in their lives. We publish independent reporting, rankings, data journalism and advice that has earned the trust of our readers and users for nearly 90 years. Our platforms on usnews.com include Education, Health, Money, Travel, Cars, and News.
We reach more than millions of people monthly during moments when they are most in need of expert advice and motivated to act on that advice directly on our platforms. Our signature franchises include our “Best” series of consumer guides on colleges, graduate schools, hospitals, diets, cars, financial services and more. These guides provide an easy-to-digest list for consumers to better understand and compare when making their decisions. We continue to publish annual guides of the authoritative Best Colleges and Best Hospitals rankings on our website and in print. And our U.S. News Live flagship conferences which highlight important national conversations such as Healthcare of Tomorrow. We believe in having a broad range of talent and backgrounds at U.S. News. We strive to maintain a welcoming workplace where everyone is given an opportunity to succeed and contribute to their fullest. Learn more about our Diversity, Equity and Inclusion initiative.
Your Role in Helping Us Shape the Future
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.
Are You Up to the Challenge?
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.
You should definitely have:
Statistical Programming: At least three years of professional experience in statistical programming, especially with ingesting datasets, merging, cleaning and analysis.
Version Control: Experience using control systems to track changes like Git repository and tracking through ticket management.
Educational Background: A Bachelor’s degree with coursework in a quantitative field (e.g., Statistics, It would be nice if you had: Economics, Data Science, or a related Social Science).
It would be nice if you had:
Experience Programming in Stata. Much of the code is written in Stata, and the applicant should be comfortable using it or be capable of learning it.
Technical Versatility: Familiarity with additional analytical tools or data visualization platforms is helpful. Experiences with Python or AI-assisted analytics in particular are a plus.
Domain Expertise: Professional or academic experience in K-12 and Higher Education data is helpful but not required.
What it’s like to work with us:
Talent is our best asset!
We invest in people with passion and potential who understand U.S. News’ dedication to our consumers.
Entrepreneurial, mission-driven culture with core values of quality and integrity
Focus on fostering personal and professional growth
Competitive benefits including paid vacation time, medical, tuition reimbursement, and training
Collaborative Work Environment ~ Fun, diverse, inclusive and ambitious co-workers
Other Job Info:
These statements are intended to describe the general nature and level of work being performed by employees assigned to this job. This is not intended to be an exhaustive list of all responsibilities, duties, and skills required of employees assigned to this job.
U.S. News & World Report strongly encourages all employees to be fully vaccinated (including boosters).
Washington, DC based applicants only to work a hybrid schedule - 2 days per week in the office. Remote applicants will not be considered.
About the Organization
U.S. News & World Report is a publisher of news and information that empowers people to make better, more informed decisions about important issues affecting their lives.
EOE Statement
We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.
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