Role: Data Analyst (Cyber Risk & Security)
Location: Remote
Must Have: Data Analysis, Cybersecurity, Risk Management, Python, Power BI, Power Automated and ETL
Position Summary
We are seeking a highly motivated Cyber Risk & Security Data Analyst/Engineer with expertise in cybersecurity risk management, vulnerability assessment, security analytics, and data engineering. The ideal candidate will be responsible for identifying and assessing cyber risks, evaluating security vulnerabilities across enterprise systems, and developing strategies to mitigate potential threats.
This role also requires strong experience in automation, AI-enabled solutions, and data engineering technologies to collect, transform, analyze, and report on large-scale security and operational datasets. The candidate will collaborate with cross-functional teams to strengthen the organization's security posture, support business continuity objectives, and drive data-driven decision-making.
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Key Responsibilities
Cybersecurity Risk Management
· 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 to reduce cybersecurity risks.
· 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.
Vulnerability Management
· Evaluate systems, networks, applications, and cloud environments for security weaknesses and vulnerabilities.
· Analyze vulnerability scan results and prioritize remediation efforts based on risk and business impact.
· Partner with infrastructure, application, and security teams to track and validate remediation activities.
· Develop metrics and reporting related to vulnerability management programs.
Data Engineering & Automation
· Lead the implementation and use of automation and AI-enabled technologies such as Power Automate, Power BI, Python, and related tools.
· Design and develop data extraction, transformation, and loading (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 to support management and operational decision-making.
· Identify opportunities to automate manual processes and improve operational efficiency.
Project & Resource Coordination
· Coordinate project activities, timelines, and stakeholder communications.
· Assist with resource planning, task prioritization, and project tracking.
· Collaborate with business, security, and technical teams to ensure successful delivery of initiatives.
· Provide status updates, risk reports, and project documentation to leadership.
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Required Qualifications
· Bachelor's degree in B.Tech, Computer Science, Information Technology, Cybersecurity, Engineering, or related discipline, or equivalent experience.
· 5+ years of experience in cybersecurity, risk management, vulnerability management, data analytics, or related areas.
· 5+ years of experience working with cybersecurity frameworks, risk assessment methodologies, and vulnerability management processes.
· 5+ years of experience identifying, analyzing, and mitigating security risks across enterprise environments.
· 5+ years of experience with:
· Python
· Power BI
· Power Automate
· Data extraction, transformation, and loading (ETL)
· Data analysis and reporting
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Preferred Qualifications
· 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 (Azure, AWS, or Google Cloud Platform).
· Knowledge of security tools, vulnerability scanners, and SIEM platforms.
· Familiarity with regulatory and compliance standards such as 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.
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