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Federal Data Analyst

U.S. Department of Agriculture
Lincoln
Estimated Salary
USD 72.000 – USD 95.000
New
Live Update
5 September 2026
Deadline
5 Sep 2027

Job Description

Join our dynamic federal team as a Data Analyst in Lincoln, NE with flexible scheduling options! We're seeking a detail-oriented professional to transform complex datasets into actionable insights that drive agricultural policy decisions. Enjoy a collaborative environment where your analytical skills directly impact national food security initiatives. Key benefits include telework options, comprehensive health coverage, and retirement plans. Work with cutting-edge tools while supporting America's farmers and rural communities.

Responsibilities

  • Analyze agricultural datasets using SQL, Python, and R to identify trends and anomalies
  • Create interactive dashboards and reports for federal stakeholders using Tableau/Power BI
  • Ensure data integrity through rigorous validation and quality control procedures
  • Collaborate with cross-functional teams to support policy development and program evaluation
  • Present findings to senior leadership through clear visualizations and executive summaries
  • Adhere to federal data security protocols and privacy regulations (FISMA, HIPAA)
  • Document methodologies and maintain reproducible analysis workflows

Qualifications

  • Bachelor's degree in Statistics, Computer Science, Economics, or related field (Master's preferred)
  • 3+ years experience in data analysis with government or regulated industries
  • Proficiency in SQL, Python (Pandas/Numpy), and statistical modeling techniques
  • Experience with federal reporting systems and data compliance standards
  • Strong written communication skills for technical and non-technical audiences
  • Certification in data visualization tools (Tableau, Power BI) or equivalent experience
  • Ability to work independently with flexible scheduling (core hours 10am-3pm)

Required Skills

Data Analysis SQL Python R Federal Government Compliance Data Visualization Statistical Modeling Tableau Policy Analysis

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