
Data Analytics, Professional
Freddie Mac is seeking a highly skilled Data Analytics Professional to join our dynamic team. As a leading provider of mortgage finance, we rely on data insights to help us make informed decisions and drive our business forward. In this role, you will have the opportunity to work with large and complex datasets to uncover key trends, patterns, and opportunities that will directly impact the success of our organization. If you are a self-motivated individual with a passion for data and a strong analytical mindset, we want to hear from you! This position requires a Bachelor's degree in a related field and at least 3 years of experience in data analytics, along with proficiency in SQL, Python, or R. Join us at Freddie Mac and be a part of a team that is shaping the future of the mortgage industry.
- Conduct data analysis using various tools and techniques to identify key trends, patterns, and insights.
- Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.
- Develop and maintain data models and databases to support data analysis and reporting.
- Utilize SQL, Python, or R to manipulate and analyze large datasets.
- Communicate complex data findings and insights to non-technical stakeholders.
- Identify and implement process improvements to enhance the efficiency and accuracy of data analysis.
- Stay up-to-date with industry trends and advancements in data analytics.
- Ensure data accuracy and integrity through regular data quality checks and audits.
- Contribute to the development and maintenance of data governance policies and procedures.
- Train and mentor junior analysts on data analytics best practices and techniques.
- Collaborate with IT teams to troubleshoot and resolve data-related issues.
- Adhere to data privacy and security protocols to protect sensitive information.
- Participate in special projects and initiatives to further advance the use of data analytics within the organization.
- Continuously seek opportunities to improve data analytics processes and procedures.
- Maintain a high level of professionalism and represent Freddie Mac's values when interacting with colleagues and stakeholders.
Bachelor's Degree In A Related Field Such As Data Science, Statistics, Or Computer Science.
Minimum Of 3-5 Years Of Experience In Data Analysis, Preferably In The Financial Industry.
Strong Proficiency In Coding Languages Such As Sql, R, And Python.
Experience With Data Visualization Tools Such As Tableau Or Power Bi.
Excellent Analytical And Problem-Solving Skills, With The Ability To Interpret Complex Data And Communicate Findings To Stakeholders.
statistical analysis
Machine Learning
Data Manipulation
Data Visualization
Data Mining
Predictive modeling
Data Interpretation
Data storytelling
SQL querying
Data
Data Cleansing
Dashboard Creation
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
Interpersonal Skills
creativity
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Data Analytics, Professional in McLean, VA, USA is between $70,000 and $120,000 per year. This can vary depending on factors such as experience, education, and company size. Some companies may offer higher salaries for more experienced professionals or those with advanced degrees. Additionally, the cost of living in McLean, VA may also affect salary ranges.
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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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