Cyber Risk & Security Data Engineer

NTT Data Americas, Inc.; Mahwah (NJ); Remote; USD 83,000 - 110,000; Full time

Job summary

NTT DATA Americas, Inc. seeks a Cyber Risk & Security Data Analyst/Engineer to identify cyber risks, assess vulnerabilities, and build data-driven mitigation strategies. You will automate data pipelines, develop dashboards with Power BI, and partner with cross-functional teams to strengthen security and enable informed decision-making.

The role emphasizes AI-enabled analytics, ETL development, and collaboration across security, IT, and business stakeholders to sustain resilience and continuity.

Qualifications

• Bachelor's degree or equivalent in CS, IT, cybersecurity or engineering.
• 5+ years in cybersecurity, risk management, or related areas.
• 5+ years with cybersecurity frameworks and vulnerability management.
• 5+ years identifying and mitigating security risks across enterprise environments.

Responsibilities

• Conduct risk assessments to identify threats, vulnerabilities and impacts.
• Develop risk treatment, mitigation and monitoring strategies.
• Support governance, compliance and business continuity initiatives.
• Perform security reviews and recommend controls to improve posture.
• Monitor emerging threats and provide actionable recommendations.
• Lead automation and AI-enabled data engineering efforts.
• Design ETL processes and dashboards to provide insights.
• Coordinate project activities and stakeholder communications.

Skills

Cybersecurity & Risk

Risk Assessment

Vulnerability Mgmt

Data Analytics

Dashboard Development

ETL

Python

Power BI

Power Automate

Data Engineering

Project Management

Education

Bachelor's degree in Computer Science etc.

Tools

Python

Power BI

Power Automate

ETL

Job description

NTT DATA Americas, Inc. seeks a Cyber Risk & Security Data Analyst/Engineer to identify cyber risks, assess vulnerabilities, and build data-driven mitigation strategies. You will automate data pipelines, develop dashboards with Power BI, and partner with cross-functional teams to strengthen security and enable informed decision-making.

The role emphasizes AI-enabled analytics, ETL development, and collaboration across security, IT, and business stakeholders to sustain resilience and continuity.