Senior Data Analyst

MANTECH seeks a motivated, career and customer-oriented Senior Data Analyst to join our team in Doral, FL.

Responsibilities include but are not limited to:

• 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.

Minimum Qualifications:

• 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.

Preferred Qualifications:

• 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.

Clearance Requirements:

• Must hold a current/active secret security clearance.

Physical Requirements:

• Must be able to remain in a stationary position 50%.
• Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
• Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations.