At Freddie Mac, our mission of Making Home Possible is what motivates us, and it's at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose.
Single-Family Data Analyst
At Freddie Mac, you will do important work to build a better housing finance system, and you'll be part of a team helping to make homeownership and rental housing more accessible and affordable across the nation.
We are accepting applications for this position until 10/16/2026
Position Overview:
The Single-Family division within Freddie Mac is searching for creative individuals to join our organization. This role is ideal for candidates with a strong foundation in statistical analysis, quantitative problem solving, and data-driven decision making. Successful candidates will demonstrate curiosity, strong communication skills, and an eagerness to learn how emerging technologies, including AI-enabled tools, can enhance business outcomes.
Our Single-Family College Analyst Cohort program is crafted to ease the transition of college into the workforce by providing skills training and mentorship programs, as well as in-class learning opportunities with senior leadership.
Our Impact:
- Single-Family relies on data analysis, quantitative modeling, and emerging technologies to support business decisions, risk management, and operational effectiveness.
- We provide data governance capabilities that help teams find, understand, and use data effectively across product, project, and delivery efforts.
- We support credit risk strategy, policy implementation, performance monitoring, and loan lifecycle analysis through data-driven insights.
Your Impact:
- Document well written User Stories based on communication, discussion, meetings.
- Support day to day operations, and projects by performing impact analysis, UAT testing, data analysis/lineage, and other technical/business support.
- Work with teammates to clarify the requirements and scope and test developed solutions to ensure accurate business outcomes
- Create process flows and dependencies for data availability
- Support monthly business process and executive reporting and metrics.
Qualifications:
- Bachelor's degree in Data Analytics, Statistics, Quantitative Analytics, Quantitative Finance, Economics, Data Science, Business Information Technology, Management Information Systems, Computer Science, Information Technology, Mathematics, or a related quantitative discipline.
- Graduation in December 2026 or May 2027 with availability to begin full-time employment in January 2027 or June 2027.
- Coursework, internships, or projects demonstratin