Associate Data Operations Analyst
Confluence
PythonSQLVBA
Data Analytics Professional
Freddie Mac
full-time
Posted on:
Origin: • 🇺🇸 United States
Visit company websiteSalary
💰 $98,000 - $146,000 per year
Job Level
JuniorMid-Level
Tech Stack
PythonSQL
About the role
- Build the reports and analytics around QC functions for the Quality Control (QC) Sampling and Analytics team
- Develop new and maintain existing methods and processes to sustain quality, timeliness, reliability, and usefulness of deliverables
- Execute monthly and quarterly baseline processes and reports
- Analyze and interpret process and report outputs in context of QC and Freddie Mac credit risk
- Prepare and maintain documentation for processes, systems, and procedures
- Validate, research and analyze data to frame and answer analytical questions
- Present ideas and recommendations to management
- Gain in-depth understanding of source data and related controls
- Participate in development of analytical framework for new initiatives
- Receive analytics assignments and determine how to meet schedules and goals
Requirements
- College degree in Statistics, Economics, Finance, Mathematics, Computer Science, Data Science or related field or equivalent experience; work towards advanced studies/degree preferred.
- Typically, 2+ years of proven experience, preferably in mortgage industry or financial services industry
- Proven demonstrated proficiency in programming languages, preferably SAS and SQL
- Must have experience in analyzing and manipulating large datasets
- 3-5 years recent (preferably working professional) experience with analytical and/or data manipulation tools such as SQL, SAS, R, Python
- Knowledge of and experience with single-family mortgage credit risk data, preferably related to GSEs preferred
- Self-motivated, pro-active, and committed problem solver
- Proven quantitative, analytical and problem-solving skills
- Strong interpersonal skills both oral and written
- Excellent SAS and SQL programming skills
- Able to handle several priorities, meet deadlines, identify and advance issues appropriately to the management
- Advanced qualifications or experience in Statistics, Economics, Business, Mathematics, Computer Science, Data Science or related field
