Data & Analytics Analyst (Federal)
Defense Support Services Center (DSSC)
Alexandria, VA • 13m ago • Hybrid
Senior
Hybrid
143,913 - 187,093 USD/yr
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Potential salary for Data & Analytics Analyst (Federal) role
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$143,913 – $187,093/year
Quick Facts
- Role: Analyst (Transition Assistance Program)
Description
As an analyst for the Defense Human Resources Activity Transition Assistance Program (TAP) Office, you will support DoD transition and reintegration activities by performing end-to-end data lifecycle analysis and producing actionable decision support. You will collect and analyze complex, multi-source datasets using analysis software, coding languages, and SQL, and you will build and deliver insights using statistical and machine learning approaches. You will also brief and train stakeholders on project progress and results.
Responsibilities
- Perform data analysis across collection, ingestion, storage, modeling, access, integration, and decision support to ensure mission compliance
- Collect and analyze data using analysis tools and coding languages; query databases using SQL
- Organize, manipulate, and derive meaning from big, disparate, unstructured, and complex datasets
- Deliver briefings, training sessions, and consultations on project progress and results
- Execute complex relational database activities: integrate, extract, transform, validate, and deliver data across multiple systems while ensuring data integrity, governance compliance, and timely dissemination
Requirements
- U.S. citizenship
- Registration for Selective Service for eligible males born after 12/31/1959
- Background investigation suitability for federal employment
- Successful completion of probationary period if required
- Telework eligible
- Financial disclosure required
Qualifications (GS-14)
- One year of specialized experience equivalent to GS-13, including:
- Designing and implementing complex data models, machine learning algorithms, and statistical analyses
- Working with large, complex, multi-source datasets (structured and unstructured)
- Using statistical tools such as SAS, Python, R, SQL, and enterprise analytics platforms
- Leading design and implementation of advanced statistical and machine learning models for enterprise-level challenges
- Supporting enterprise relational database environments (millions of records) across multiple systems
- Advising senior leadership on data-driven strategies
- Overseeing large-scale analytics projects
Benefits
Federal benefits package; benefits vary by position type (full-time/part-time/intermittent).
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