Welcome to Freddie Mac, one of the leading providers of mortgage financing in the United States. We are currently seeking a driven and detail-oriented individual to join our team as a Single Family Data Intern. In this role, you will have the opportunity to gain hands-on experience in analyzing and managing data related to our single family mortgage business. We are looking for someone who is passionate about data and has a strong desire to learn and grow in a fast-paced and dynamic environment. If you have a keen eye for detail and a strong analytical mindset, we encourage you to apply for this exciting opportunity.
- Collect and compile data related to Freddie Mac's single family mortgage business.
- Analyze data and identify trends or patterns to support decision making.
- Assist in managing and maintaining databases and data systems.
- Collaborate with colleagues to ensure accurate and timely data entry and reporting.
- Conduct quality checks to ensure data integrity and accuracy.
- Utilize data analysis tools and techniques to identify areas for improvement and make recommendations.
- Support the development and implementation of data management processes and procedures.
- Produce reports and presentations to communicate data insights and findings.
- Stay up-to-date with industry trends and best practices in data analysis.
- Contribute to team meetings and discussions to share ideas and insights.
- Adhere to data privacy and security protocols.
- Complete assigned projects and tasks in a timely and efficient manner.
- Take initiative to identify and solve data-related issues.
- Continuously seek opportunities to improve data management processes and systems.
- Maintain a positive and professional attitude while representing Freddie Mac.
Familiarity With Mortgage Industry: The Ideal Candidate Should Have A Basic Understanding Of The Mortgage Industry And Its Key Players, Including Freddie Mac. This Knowledge Will Enable Them To Quickly Grasp The Data And Analytics Related To Single-Family Mortgages.
Proficiency In Data Analysis: The Single Family Data Intern Must Be Highly Skilled In Data Analysis, With The Ability To Collect, Organize, And Interpret Large Datasets. They Should Also Be Proficient In Using Data Analysis Tools Such As Excel, Sql, And Tableau.
Strong Attention To Detail: The Intern Must Possess Strong Attention To Detail To Ensure Accuracy And Completeness Of Data Analysis. They Should Be Able To Identify Any Discrepancies Or Errors In The Data And Take Necessary Actions To Resolve Them.
Excellent Communication Skills: The Intern Should Have Excellent Written And Verbal Communication Skills To Effectively Convey Complex Data Insights To Various Stakeholders. They Should Also Be Able To Work Collaboratively With Other Team Members And Present Their Findings In A Clear And Concise Manner.
Ability To Handle Confidential Information: As A Single Family Data Intern, The Candidate Will Have Access To Sensitive And Confidential Data. They Must Possess A High Level Of Professionalism And Integrity To Maintain The Confidentiality Of This Information.
Sql
Programming
Data Entry
Data Analysis
Market Research
Database Management
Excel
Reporting
Data Visualization
Data Mining
Statistical modeling
Data cleaning
Problem
Communication
Emotional Intelligence
Leadership
Time management
Interpersonal Skills
creativity
Critical thinking
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Single Family Data Intern in McLean, VA, USA is between $14.00 and $20.00 per hour. This equates to an annual salary range of approximately $29,120 to $41,600. However, this range may vary depending on factors such as the intern's level of experience, the specific company they are interning for, and the responsibilities of the internship.
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Federal Home Loan Mortgage Corp. provides liquidity, stability and affordability to the U.S. housing market primarily by providing credit guarantee for residential mortgages originated by mortgage lenders and investing in mortgage loans and mortgage-related securities.
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