Data Analyst

$110,000 - $125,000/Yr

Goldbelt Incorporated - Arlington, VA

Full-time - Mid Level

Arlington, VA

Transportation Equipment Manufacturing

About the position

The Data Analyst position at Goldbelt Glacier involves working with complex data related to various health and readiness topics within the military and federal sectors. The role focuses on integrating, analyzing, and validating data to support decision-making and policy formulation, while also advocating for new analytic capabilities and improvements.

Responsibilities

• Work collaboratively as a team to integrate, synthesize, analyze, and validate data and information from multiple sources.
• Work directly with stakeholders to understand their reporting requirements and apply data analytics tools and methods to streamline reporting.
• Formulate and apply mathematical modeling and other optimizing methods to develop and interpret information that assists leaders with decision-making, policy formulation, or other programmatic functions.
• Develop reports via data collection across multiple data source types (internal and external) and stakeholders.
• Ensure integrity of data analysis results by ensuring the application of appropriate methodologies, including evidence of traceability/reproducibility.
• Design, develop, and advocate for new analytic capabilities and technical improvements consistent with evolving requirements.
• Serve as a subject matter expert on data analysis and management techniques, providing support to colleagues and government clients.
• Prepare reports using Microsoft Access, Excel, PowerPoint, Power BI, and/or Word.
• Review and improve data and analytics processes, methods, and tools to increase efficiency and accuracy.

Requirements

• Must have a master's degree in a related field with 7 years of related experience.
• Must have prior experience in database management.
• Advanced knowledge of MS Office Access databases and VBA coding.
• Proficient understanding of MS Office Excel and PowerPoint, SQL, Power BI, or other big-data analytic techniques (e.g., Python or R) for structured and unstructured data.
• Practical mathematical, statistical, and/or other quantitative abilities.
• Strong ability to communicate results, findings, issues, and insights with both internal and external points of contact.

Nice-to-haves

• Experience working with the Army, other military Branches, and/or Department of Defense.
• Previous exposure to the most senior levels of the military such as the HQDA, MACOMS, or Army Service Component Commands.

Benefits

• 401(k) matching
• Dental insurance
• Health insurance
• Paid time off
• Vision insurance