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Information Technology 🏢 Full Time ⭐️ Verified

Federal Data Analyst (Remote-Friendly) - Boston, MA

Federal Data Solutions Inc.
Boston
Estimated Salary
USD 85.000 – USD 125.000
New
Live Update
3 Oktober 2026
Deadline
3 Okt 2027

Job Description

Join our elite federal data team at Federal Data Solutions Inc. as a Remote-Friendly Federal Data Analyst in Boston. We're seeking a mission-driven professional to transform complex federal datasets into actionable insights that drive policy decisions. Enjoy competitive benefits, flexible remote work options, and the opportunity to work on projects impacting national security and public service.

Why Join Us?

  • Remote-first culture with optional in-office collaboration in Boston
  • Comprehensive health, dental, and vision insurance
  • Professional development stipend for certifications
  • 401(k) with 6% employer match
  • Paid time off + 12 federal holidays

Responsibilities

  • Analyze and interpret large-scale federal datasets (e.g., Census, BLS, CMS) using SQL, Python, and R
  • Develop automated data pipelines ensuring compliance with federal security standards (FISMA, NIST)
  • Create interactive dashboards and visualizations for executive stakeholders
  • Collaborate with cross-functional teams to deliver data-driven recommendations
  • Document methodologies and maintain data integrity protocols
  • Stay current on federal data regulations and privacy requirements

Qualifications

  • Bachelor's degree in Data Science, Statistics, Public Policy, or related field
  • 3+ years experience with federal data sources and compliance frameworks
  • Advanced proficiency in SQL, Python (Pandas, NumPy), and data visualization tools (Tableau/Power BI)
  • Strong understanding of statistical analysis and hypothesis testing
  • Familiarity with federal data systems (e.g., DATA Act, FedStats.gov)
  • Ability to obtain Public Trust clearance (must be US citizen)
  • Excellent communication skills for translating complex insights

Required Skills

Data Analysis SQL Python Federal Compliance Data Visualization Statistical Analysis Public Trust Data Pipeline Development

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