Job Description
Join our mission-critical team as a Federal Data Analyst in Virginia Beach, VA. This remote-friendly position empowers you to transform complex federal datasets into actionable insights that drive national security initiatives. Work with cutting-edge technologies while maintaining full compliance with federal regulations. Enjoy competitive compensation, flexible scheduling, and the opportunity to make a direct impact on government operations.
We're seeking a detail-oriented professional passionate about data integrity and federal compliance. You'll collaborate with cross-agency teams to analyze sensitive information, develop predictive models, and support strategic decision-making. Our hybrid work model offers the perfect balance of remote flexibility and in-person collaboration.
Responsibilities
- Analyze and interpret complex federal datasets to identify trends, anomalies, and actionable insights
- Develop automated data pipelines and ETL processes for federal compliance reporting
- Create interactive dashboards and visualizations using Tableau/Power BI for stakeholder briefings
- Ensure data integrity through rigorous validation and quality control protocols
- Collaborate with cross-functional teams to define data requirements and deliverables
- Document data methodologies and maintain audit trails for federal compliance
- Stay current with evolving federal data regulations and security standards
Qualifications
- Bachelor's degree in Data Science, Statistics, Computer Science, or related field (Master's preferred)
- Minimum 3 years of experience in federal government data analysis or compliance
- Advanced proficiency in SQL, Python (Pandas/Numpy), and R for statistical modeling
- Certification in federal data security protocols (e.g., NIST, FISMA)
- Expertise in data visualization tools (Tableau, Power BI) and BI platforms
- Demonstrated experience with large-scale federal datasets and security clearance
- Strong analytical skills with ability to translate complex data into strategic recommendations