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# Data Analyst

- **Company:** Systems, Inc
- **Location:** Washington, DC, United States
- **Experience:** Experienced
- **Contract:** Contract
- **Skills:** Microsoft Access, Microsoft Word, Microsoft Excel, Agile Methodology, Data Analysis, JIRA, Data Architecture, Data Validation, Data Warehousing, Relational Databases, Metadata, Microsoft Office, Microsoft Visio, Microsoft PowerPoint, Systems Development Life Cycle, Standard Sql, SQL Databases
- **Published:** October 16, 2026
- **Apply:** https://www.dice.com/job-detail/ec4ba22e-e40d-4a6c-812d-26ab3a15fd32

## About the Role

2. Excel
 3. Word
 4. Powerpoint
 5. Visio

Top 3 Soft Skills:

 1. Testing and Data Validation
 2. Documentation
 3. Communication Skills, Minimum Required Experience
 * 3-5 years of relevant experience

Desired Experience

Bachelor's degree or equivalent

 * Proven experience as a Data Quality Analyst or Data Analyst.
 * Strong SQL and analytical skills with keen attention to detail.
 * Strong documentation skills is a must
 * Proficiency in MS Office Suite (Excel, PowerPoint, Word, Access), Visio, and JIRA.
 * Experience with data warehousing concepts and relational databases.
 * Excellent communication, documentation, and organizational skills.
 * Familiarity with Agile methodologies and SDLC processes.

Jake Lutman

## Description

* Understand business context, data requirements, and communicate effectively in both written and oral formats.
 * Analyze existing data architecture and flows to identify gaps and improvement opportunities.
 * Perform in-depth data analysis and validation across various data quality dimensions.
 * Design, implement, and monitor data quality rules and metrics.
 * Create DQ metadata and migrate the rules to production
 * Develop and execute test plans, test cases, and validation procedures.
 * 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.
 * Maintain data dictionaries and metadata to ensure consistency and traceability.
 * Identify, assess, and resolve data quality issues, escalating as needed.
 * 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.