Data Analyst - Privacy & Incident Response (TS/SCI)

CACI International Inc; Chantilly (VA); On-site; USD 87,000 - 182,000; Full time

Job summary

Data Analyst at CACI International Inc will analyze large datasets to detect privacy breaches and anomalies, support incident response efforts, and develop visualizations that communicate key metrics to stakeholders. The role requires TS/SCI with Poly clearance, a CS/databases background, and strong Python/SQL skills.

Expect collaboration with cross-functional teams in a fast-paced environment. The position emphasizes data-driven insights, finding privacy gaps, and informing incident response

Qualifications

• Active Clearance: TS/SCI with Poly
• Bachelor's degree and 3-5 years in computer science, data science or related field
• Strong programming in Python or SQL
• Strong data analysis and problem-solving skills with ability to communicate complex technical concepts
• Experience with large datasets and relational/NoSQL databases
• Ability to work in a fast-paced environment with urgency and accuracy

Responsibilities

• Analyze large datasets to identify privacy breaches and anomalies in data access patterns
• Collaborate with incident response and cross-functional teams to investigate privacy breach incidents
• Conduct data analysis and provide recommendations to inform incident response strategies
• Develop and maintain data visualizations and reports to communicate metrics and trends to stakeholders
• Inform team on emerging threats, technologies, and trends in data privacy management

Skills

Python

SQL

Data analysis

Communication

NoSQL databases

Education

Bachelor's degree

Master's degree (Cybersecurity Risk Management, CS, or related)

Tools

AWS

Logs analysis tools

Job description

Data Analyst at CACI International Inc will analyze large datasets to detect privacy breaches and anomalies, support incident response efforts, and develop visualizations that communicate key metrics to stakeholders. The role requires TS/SCI with Poly clearance, a CS/databases background, and strong Python/SQL skills.

Expect collaboration with cross-functional teams in a fast-paced environment. The position emphasizes data-driven insights, finding privacy gaps, and informing incident response