Data Analyst

About This Role

This role supports the Defense Intelligence Agency's CIS program, which delivers IT services for globally distributed operations. The Data Analyst/Visualization Engineer will contribute to the technological transformation and modernization of customer IT services by designing, developing, implementing, and operating cutting-edge solutions, with a focus on continuous service improvement.

Responsibilities

• Provide process and technology improvement recommendations using current ITSM, asset, and system lifecycle data
• Provide data management analysis in support of acquiring, collecting, extracting, integrating, inspecting, cleaning, and modeling data from a variety of program and enterprise sources
• Develop and implement data and graphic visualizations using standard design tools like Microsoft Office Suite
• Use Tableau or similar platforms to maintain dashboards
• Provide project input, updates, and standings to cover current and future operations and projects
• Provide data-backed collaboration on schedules, project scope, implementation timing, and prior execution as a basis for future success
• Create compelling data visualizations that effectively communicate complex insights to both technical and non-technical stakeholders
• Present findings and strategic recommendations to stakeholders in a clear and actionable manner
• Work closely with cross-functional teams to understand business needs in cybersecurity, compliance, operations, and engineering

Requirements

• Must hold a current Top Secret SCI clearance with ability to obtain poly prior to start
• An AS/AA and 14+ years of experience, BS/BA and 12+ years of experience, MS/MA and 10+ years of experience, or PhD and 8+ years of experience
• Minimum of 5 years in data analysis experience
• Current DoD 8140 – IAT II Certification (e.g. CompTIA Security+)
• Demonstrated experience in collecting, acquiring, extracting, integrating, inspecting, cleaning, and modeling data
• Possess knowledge and experience with data analysis and data technical expertise in data management, engineering, and science
• Proven proficiency in Python, R, and SQL
• Hands-on experience with machine learning, predictive modeling, and data mining techniques
• Deep experience with Tableau, including scripting, automation, performance optimization, and integrating with various data sources (SQL databases, cloud platforms, etc.)
• Experience with data warehousing concepts and relational databases
• Proficient understanding of data governance and security best practices
• Excellent communication, teamwork, leadership and conflict management, and critical thinking skills
• Willingness to learn new skills and new technologies