Job Description
Join the Department of Homeland Security's elite data analytics team in Baltimore, MD, and drive impactful federal decision-making through advanced data interpretation. This remote-friendly role offers the unique opportunity to serve national security while enjoying flexible work arrangements. You'll transform complex datasets into actionable intelligence that shapes policy and operations across federal agencies.
Our ideal candidate thrives in mission-critical environments and possesses a blend of technical expertise and federal compliance knowledge. With competitive benefits, professional development opportunities, and a commitment to work-life balance, this position is perfect for data professionals seeking meaningful public service.
Responsibilities
- Analyze and interpret large-scale federal datasets to support homeland security initiatives and policy decisions
- Develop and maintain automated data pipelines using SQL, Python, and R for real-time reporting
- Create interactive dashboards and visualizations using Tableau/Power BI for executive stakeholders
- Ensure compliance with federal data governance standards (FISMA, HIPAA, PII protocols)
- Collaborate with cross-functional teams to define data requirements and deliver actionable insights
- Present findings to senior leadership through clear, concise technical documentation
- Stay current on evolving federal data regulations and security protocols
Qualifications
- Bachelor's degree in Data Science, Statistics, Computer Science, or related field (Master's preferred)
- 3+ years of professional data analysis experience with federal datasets
- Advanced proficiency in SQL, Python (Pandas, NumPy), and statistical modeling
- Expertise in data visualization tools (Tableau, Power BI, D3.js)
- Familiarity with federal compliance frameworks (FISMA, NIST, CUI)
- Strong written and verbal communication skills for technical and non-technical audiences
- Proven ability to manage sensitive data with utmost confidentiality
- Experience with cloud platforms (AWS, Azure) and big data technologies