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Federal Data Analyst - High Paying Opportunity in Laredo, TX

U.S. Department of Homeland Security
Laredo
Estimated Salary
USD 85.000 – USD 120.000
New
Live Update
27 September 2026
Deadline
27 Sep 2027

Job Description

Join a prestigious federal agency as a Data Analyst in Laredo, TX, where your expertise will directly impact national security initiatives. This high-paying role offers unparalleled career growth, comprehensive benefits, and the opportunity to work with cutting-edge technologies in a mission-critical environment.

As a key member of our analytics team, you'll transform complex datasets into actionable intelligence, supporting border security operations and policy decisions. Enjoy competitive compensation, flexible work arrangements, and a commitment to professional development unmatched in the private sector.

Responsibilities

  • Analyze and interpret large-scale federal datasets to support operational decision-making
  • Develop interactive dashboards and visualizations using tools like Tableau and Power BI
  • Ensure compliance with federal data governance standards (FISMA, HIPAA)
  • Collaborate with cross-functional teams to identify data-driven solutions
  • Present findings to senior leadership through executive-level reports
  • Maintain data integrity across multiple federal systems
  • Lead ad-hoc analytical projects with national security implications

Qualifications

  • Bachelor's degree in Data Science, Statistics, or related field (Master's preferred)
  • 5+ years of professional data analysis experience in federal/government sector
  • Expert proficiency in SQL, Python, and R programming languages
  • Certification in federal data security protocols (e.g., DOD 8570)
  • Experience with ETL processes and big data technologies (Hadoop, Spark)
  • Strong understanding of statistical modeling and predictive analytics
  • Ability to obtain and maintain a federal security clearance

Required Skills

Data Analysis SQL Python R Tableau Power BI Federal Compliance Statistical Modeling ETL Big Data

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