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# Senior Data Analyst

- **Company:** Cadmus
- **Location:** McLean, VA, United States
- **Experience:** Expert
- **Salary:** $115,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Word, Microsoft Excel, Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, Confluence, JIRA, Big Data, Database Theory, Python (Programming Language), Microsoft Visio, Microsoft Software, Systems Development Life Cycle, Microsoft SharePoint, Software Engineering, SQL Databases, Tableau (Software), Cloud Platform System, Informatica Powercenter, Snowflake, Prompt Engineering
- **Published:** August 4, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=d228139d0d0047a2

## About the Role

* Bachelor's degree and 6-8 years of professional experience
 * Experience across the SDLC, including requirements, design, development, testing, documentation, training, deployment, and operations
 * Solid understanding of system development methodologies and techniques, and an excellent grasp of database concepts and principles
 * Solid knowledge of Agile methodologies and Proficiency in JIRA and Confluence
 * Excellent interpersonal and communication skills, strong verbal, and written communication skills
 * Advanced experience with SQL including query creation (such as select queries)
 * Experience with Python, Snowflake, Informatica
 * Experience in working in a Cloud Platform preferably AWS
 * Expert proficiency in Microsoft products, such as Word, Excel, Visio, etc.
 * Ability to capture and present operational metrics to Senior Management
 * Ability to manage multiple tasks or projects at any given time
 * Mortgage and Financial Data experience strongly preferred

## Description

* Provide excellent client service and Data Analyses in a large, big data Enterprise environment focused on the Mortgage Financial industry
 * Spearhead consumer communications and managing both internal and external communications across program SharePoint site and Teams Channels
 * Drive AI and prompt engineering initiatives
 * Decompose and migrate legacy reports/views to modern platforms like Tableau and Python
 * Support for development teams to champion consumer use cases and needs


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