Remote Cyber Risk & Security Data Analyst

NTT DATA Services•Plano, TX

1d•$105,840 - $196,000•Hybrid

About The Position

NTT DATA is seeking a Cyber Risk & Security Data Analyst/Engineer to identify and assess cyber risks, evaluate vulnerabilities across enterprise systems, and develop strategies to mitigate potential threats. The position combines cybersecurity risk management, vulnerability assessment, security analytics, and data engineering. It also involves using automation and AI-enabled solutions to collect, transform, analyze, and report on large security and operational datasets. The analyst/engineer collaborates with cross-functional teams to strengthen security, support business continuity, and enable data-driven decisions. The role includes conducting security risk assessments and reviews; developing risk treatment, mitigation, and monitoring strategies; evaluating and prioritizing vulnerabilities; and coordinating remediation with technical teams. It also leads automation and data engineering activities, including ETL development, dataset preparation and analysis, and dashboard and report creation. Project work includes coordinating activities, timelines, stakeholders, resources, and status reporting. The position is listed as full-time and is based in the United States, with hybrid or remote arrangements as applicable. Remote or hybrid arrangements may be subject to client requirements and change; in-office attendance may be required for meetings or events based on business needs. The stated starting compensation range is $105,840–$196,000 per year, with possible incentive compensation based on individual and/or company performance.

Requirements

Bachelor’s degree in B.Tech, Computer Science, Information Technology, Cybersecurity, Engineering, or a related discipline, or equivalent practical experience.
At least 5 years of experience in cybersecurity, risk management, vulnerability management, data analytics, or related areas.
At least 5 years of experience with cybersecurity frameworks, risk assessment methodologies, and vulnerability management processes.
At least 5 years of experience identifying, analyzing, and mitigating security risks across enterprise environments.
At least 5 years of experience with Python, Power BI, Power Automate, ETL, data analysis, and reporting.

Nice To Haves

Experience working with structured and unstructured datasets.
Strong analytical, problem-solving, and communication skills.
Experience with project coordination and resource management.
Experience with cloud security environments such as Azure, AWS, or GCP.
Knowledge of security tools, vulnerability scanners, and SIEM platforms.
Familiarity with NIST, ISO 27001, SOC 2, or CIS Controls.
Experience with automation, AI-driven analytics, and workflow orchestration.
Relevant certifications such as Security+, CISSP, CISM, CRISC, CEH, or equivalent.

Responsibilities

Conduct risk assessments to identify threats, vulnerabilities, and potential impacts to information systems, applications, and infrastructure.
Develop and implement risk treatment, mitigation, and monitoring strategies.
Support enterprise security governance, compliance, and business continuity initiatives.
Perform security reviews and recommend controls to improve security posture.
Monitor emerging cyber threats and provide actionable recommendations.
Evaluate systems, networks, applications, and cloud environments for security weaknesses and vulnerabilities.
Analyze vulnerability scan results and prioritize remediation based on risk and business impact.
Coordinate with infrastructure, application, and security teams to track and validate remediation activities.
Develop metrics and reporting for vulnerability management programs.
Implement and use automation and AI-enabled technologies, including Power Automate, Power BI, and Python.
Design and develop ETL processes for security and operational datasets.
Build and maintain frameworks for collecting structured and unstructured data from multiple sources.
Prepare, cleanse, transform, and analyze large datasets to generate actionable insights.
Create dashboards, reports, and visualizations for management and operational decision-making.
Identify opportunities to automate manual processes and improve operational efficiency.
Coordinate project activities, timelines, and stakeholder communications.
Assist with resource planning, task prioritization, and project tracking.
Collaborate with business, security, and technical teams to deliver initiatives.
Provide status updates, risk reports, and project documentation to leadership.