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Information Technology 🏢 Full Time ⭐️ Verified

Federal Data Analyst

Government Analytics Solutions
Tulsa
Estimated Salary
USD 75.000 – USD 95.000
New
Live Update
9 Oktober 2026
Deadline
9 Okt 2027

Job Description

We're urgently seeking a highly skilled Federal Data Analyst to join our dynamic team in Tulsa, OK! This critical role supports federal agencies in transforming complex datasets into actionable insights that drive policy decisions and public service improvements. Join a mission-driven environment where your analytical expertise directly impacts national priorities. Apply today to become part of our award-winning data intelligence team!

Responsibilities

  • Analyze and interpret large-scale federal datasets to identify trends, anomalies, and performance metrics
  • Develop automated reporting dashboards using SQL, Python, and Power BI for federal stakeholders
  • Ensure compliance with federal data governance standards (e.g., FISMA, HIPAA)
  • Collaborate with cross-functional teams to define KPIs and success metrics
  • Present findings to senior leadership through executive-level visualizations
  • Maintain secure data environments and document analytical methodologies
  • Support ad-hoc requests from federal agency partners

Qualifications

  • Bachelor's degree in Data Science, Statistics, or related field (Master's preferred)
  • 3+ years of experience with federal data systems and compliance requirements
  • Expertise in SQL, Python (Pandas, NumPy), and data visualization tools
  • Strong knowledge of statistical analysis techniques and machine learning basics
  • Proven ability to handle sensitive government data with confidentiality
  • Experience with federal reporting frameworks (e.g., OMB guidelines)
  • Excellent communication skills for translating technical insights to non-technical audiences
  • US citizenship and ability to obtain federal clearance required

Required Skills

SQL Python Power BI Data Visualization Statistical Analysis Federal Compliance Data Governance Machine Learning OMB Guidelines

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