Job Description
Join the U.S. Department of the Treasury as a Federal Data Analyst and play a critical role in supporting our mission to maintain a strong economy and create economic opportunities for all Americans. We are seeking a highly skilled and motivated individual to analyze complex datasets, provide actionable insights, and ensure compliance with federal regulations.
In this role, you will work with various stakeholders across the agency to collect, process, and analyze large volumes of data. You will develop and implement data models, perform statistical analysis, and create compelling visualizations to communicate findings effectively. Your work will directly influence policy decisions and program improvements.
We offer a collaborative work environment, competitive benefits, and opportunities for professional growth. If you are passionate about data and public service, we encourage you to apply today.
Responsibilities
- Analyze large datasets to identify trends, patterns, and anomalies that inform decision-making.
- Develop and maintain data models to support agency objectives and ensure data integrity.
- Perform statistical analysis and data mining to extract meaningful insights.
- Create data visualizations and reports for executive leadership and other stakeholders.
- Ensure compliance with federal data privacy and security regulations.
- Collaborate with cross-functional teams to understand data requirements and provide solutions.
- Stay current with emerging data analysis techniques and technologies.
Qualifications
- Bachelor's degree in Data Science, Statistics, Computer Science, Economics, or related field. Master's degree preferred.
- 3+ years of experience in data analysis, preferably in a federal or government setting.
- Proficiency in SQL, Python, and R for data manipulation and analysis.
- Experience with data visualization tools such as Tableau, Power BI, or D3.js.
- Strong understanding of federal data regulations and compliance standards.
- Excellent analytical and problem-solving skills with attention to detail.
- Ability to communicate complex data insights to non-technical audiences.