Senior Data Analyst

MANTECH•Doral, FL
•Onsite

About The Position

MANTECH seeks a motivated, career and customer-oriented Senior Data Analyst to join our team in Doral, FL. MANTECH is a trusted partner to the Department of Defense, delivering cutting-edge projects in areas like Cybersecurity, IT, and Data Analytics. This role involves shaping the future of defense through advanced technology and innovative solutions.

Requirements

  • Bachelor’s degree in Data Analytics, Computer Science, Statistics, Mathematics, or a related field with 5+ years of experience in advanced analytics roles, OR a master’s degree and 3+ or more years of relevant experience, OR a PhD and 1+ or more years of relevant experience, OR an associate’s degree and 7+ or more years of relevant experience, OR a high school diploma and 9+ or more years of relevant experience.
  • Proven experience analyzing large, complex datasets using SQL, Python, R, or advanced analytical frameworks.
  • Extensive experience building enterprise dashboards and visual reports using business intelligence tools.
  • Strong track record of validating data integrity, performing statistical analysis, and communicating technical findings to stakeholders.
  • Experience creating, maintaining, and communicating complex technical documentation and analytical reports.
  • Must hold a current/active secret security clearance.

Nice To Haves

  • Master’s degree in Analytics, Statistics, Data Science, or a related technical discipline.
  • Direct experience supporting U.S. Military Command operations or Department of Defense enterprise data environments.
  • Familiarity with data warehousing architectures, ETL pipeline optimization, and cloud-based analytics platforms.
  • Experience integrating data quality tools and automated testing into analytics workflows.

Responsibilities

  • Extracting, cleansing, and transforming complex structured and unstructured datasets to support operational analysis.
  • Designing, developing, and maintaining interactive dashboards, reports, and data visualization tools for leadership.
  • Performing statistical analysis, data modeling, and trend evaluation to identify key operational metrics and insights.
  • Collaborating with cross-functional technical teams and business stakeholders to define analytical requirements and data governance standards.
  • Conducting quality assurance, data reconciliation, and validation audits across enterprise data sources.
  • Maintaining technical baselines, analytical documentation, and reporting procedures for continuous process improvement.
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