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Information Technology 🏢 Full Time ⭐️ Verified

Federal Data Analyst

Booz Allen Hamilton
Chicago
Estimated Salary
USD 75.000 – USD 95.000
Live Update
13 September 2026
Deadline
13 Sep 2027

Job Description

Join Booz Allen Hamilton's federal data analytics team in Chicago and transform complex datasets into actionable intelligence for government agencies. We offer fully flexible working hours to support your work-life balance while serving critical national missions. As a Federal Data Analyst, you'll leverage cutting-edge tools to drive evidence-based decision-making across defense, healthcare, and security initiatives.

Why Join Us?

  • Industry-leading flexible scheduling (core hours 10am-3pm)
  • Comprehensive benefits package including remote work options
  • Access to federal data training programs and certifications
  • Career advancement in mission-critical analytics

Responsibilities

  • Analyze and interpret large-scale federal datasets using SQL, Python, and R
  • Develop interactive dashboards using Tableau/Power BI for government stakeholders
  • Ensure compliance with federal data security protocols (FISMA, HIPAA)
  • Collaborate with cross-functional teams to deliver data-driven recommendations
  • Document analytical processes and maintain data quality frameworks
  • Present findings to senior federal leadership through executive briefings
  • Support continuous improvement of data governance practices

Qualifications

  • Bachelor's degree in Data Science, Statistics, or related field
  • 3+ years of experience with federal data systems or government contracts
  • Proficiency in SQL, Python (Pandas/NumPy), and statistical analysis
  • Tableau or Power BI certification preferred
  • Active security clearance or ability to obtain one
  • Strong understanding of federal data regulations (CUI, PII)
  • Experience with cloud platforms (AWS/GCP/Azure) data services
  • Excellent written and verbal communication skills

Required Skills

Data Analysis SQL Python Tableau Federal Compliance Data Visualization Statistical Modeling Data Governance AWS Government Contracts

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