Quick Overview
Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
Doral, Florida, United States
SQLETLPython
Job Description
hackajob is collaborating with MANTECH to connect them with exceptional professionals for this role.
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.
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