Fannie Mae is looking to ensure the quality of data across systems and processes to support data-driven decision-making and improve access to affordable housing finance.
Requirements
- Strong SQL and analytical skills with keen attention to detail.
- Proficiency in MS Office Suite (Excel, PowerPoint, Word, Access), Visio, and JIRA.
- Experience with data warehousing concepts and relational databases.
- Familiarity with Agile methodologies and SDLC processes.
- Utilize tools such as SQL, Excel, Visio, and JIRA to support analysis and reporting.
- Work in Agile environments to deliver iterative improvements and support continuous data quality initiatives.
Responsibilities
- Analyze existing data architecture and flows to identify gaps and improvement opportunities.
- Perform in-depth data analysis and validation across various data quality dimensions.
- Create process flows, reports, and presentations to document insights and recommendations.
- Collaborate with cross-functional teams to define scope, gather requirements, and support SDLC documentation.
- Develop and execute test plans, test cases, and validation procedures.
- Design, implement, and monitor data quality rules and metrics.
- Maintain data dictionaries and metadata to ensure consistency and traceability.
Other
- Understand business context, data requirements, and communicate findings effectively in both written and oral formats.
- Identify, assess, and resolve data quality issues, escalating as needed.
- Excellent communication, documentation, and organizational skills.
- 2+ years of relevant experience
- Bachelor's Level Degree (Required)
