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Information Technology 🏢 Full Time ⭐️ Verified

Senior Federal Data Analyst

Federal Analytics Solutions
Indianapolis
Estimated Salary
USD 95.000 – USD 130.000
New
Live Update
3 Oktober 2026
Deadline
3 Okt 2027

Job Description

Join our elite team at Federal Analytics Solutions as a Senior Federal Data Analyst and drive impactful data-driven decisions for federal agencies in Indianapolis. This high-paying role offers unparalleled opportunities to work with classified datasets, implement cutting-edge analytics methodologies, and shape national policies. Enjoy comprehensive benefits, flexible work arrangements, and career advancement in a mission-critical environment.

Responsibilities

  • Design and implement complex data models to support federal agency requirements
  • Analyze large-scale datasets using advanced SQL, Python, and R programming
  • Develop interactive dashboards and visualizations for executive leadership
  • Ensure compliance with federal data security protocols (FISMA, NIST)
  • Collaborate with cross-functional teams to translate business needs into data solutions
  • Present findings to senior government officials with actionable recommendations
  • Maintain documentation of data processes and analytical methodologies

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field (Master's preferred)
  • 5+ years of experience in federal government data analysis
  • Expert proficiency in SQL, Python (Pandas, NumPy), and data visualization tools (Tableau, Power BI)
  • Active security clearance or ability to obtain Secret clearance
  • Strong understanding of federal data governance frameworks
  • Proven track record of delivering high-stakes analytical projects
  • Excellent communication skills with ability to present complex findings
  • Certification in data analytics (e.g., Google Data Analytics, SAS) preferred

Required Skills

SQL Python R Tableau Power BI Data Visualization Statistical Analysis Federal Compliance FISMA NIST Data Governance Machine Learning

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