Top Secret Cleared Data Quality Analyst

Booz Allen Hamilton; Warner Robins (GA); Presencial; USD 78.000 - 176.000; Jornada completa

Descripción de la vacante

Booz Allen Hamilton is seeking a Data Quality Analyst to support the collection, organization, validation, and preparation of asset information for reporting and visualization. You will identify data-quality issues, maintain standards, document corrections, and prepare accurate datasets for downstream use.

The ideal candidate is detail-oriented, organized, comfortable with large datasets, and eager to learn new tools and processes in a evolving technical environment.

Formación

• 3+ years of experience with data analysis and validation, data management, or quality assurance.
• Experience using Microsoft Excel to enter, organize, review, or analyze data.
• Ability to follow documented procedures, naming standards, and quality-control requirements.
• Bachelor's degree and Top Secret clearance are required.

Responsabilidades

• Enter, review, organize, and maintain asset-related data.
• Review datasets for missing, duplicate, inconsistent, or potentially inaccurate information.
• Apply established naming conventions, validation rules, and data-quality standards.
• Prepare validated datasets for reporting, publication, and dashboard use.
• Coordinate with data collectors, reviewers, and technical team members to resolve data issues.
• Learn and use new data-management and visualization tools as required.

Conocimientos

Data analysis

Excel

Data validation

Data management

Documentation

Independent work

Educación

Bachelor's degree

Herramientas

SQL

Power Query

Power BI

Tableau

Qlik Sense

SharePoint

Descripción del empleo

Booz Allen Hamilton is seeking a Data Quality Analyst to support the collection, organization, validation, and preparation of asset information for reporting and visualization. You will identify data-quality issues, maintain standards, document corrections, and prepare accurate datasets for downstream use.

The ideal candidate is detail-oriented, organized, comfortable with large datasets, and eager to learn new tools and processes in a evolving technical environment.