Sr Cybersecurity Engineer - Analytics & BI Reporting

Responsibilities

Design and deliver cybersecurity reporting and analytics solutions that transform operational data into actionable insights for stakeholders across the organization.

• Design and develop dashboards, reports, and visualizations using Microsoft Power BI and Microsoft Fabric to communicate cybersecurity metrics, trends, and operational insights
• Extract, model, and prepare data from Splunk through Search Processing Language queries, application programming interfaces, and scheduled exports for analytics and reporting
• Build and maintain data pipelines, semantic models, datasets, and reporting structures within Microsoft Fabric environments
• Collaborate with security operations, detection engineering, audit, compliance, and leadership teams to gather requirements and deliver meaningful reporting solutions
• Establish and maintain data models, DAX measures, and governance standards that ensure reporting accuracy, consistency, and scalability
• Develop self-service reporting capabilities, reusable templates, and data assets that enable business users to independently explore cybersecurity data
• Monitor data quality, freshness, lineage, and performance across reporting environments while optimizing Power BI and Fabric workspaces and capacity
• Document data sources, reporting logic, visualization standards, and support ad hoc reporting requests related to audit and compliance activities

Education

• Bachelor s degree in Computer Science, Information Systems, Cybersecurity, Data Analytics, Engineering, or a related field
• Microsoft Fabric, Power BI, or related cloud and data analytics certifications preferred

Skills and Competencies

• 6-9 years of experience in data engineering, business intelligence, reporting, or analytics with exposure to cybersecurity or information technology operations data
• Strong hands-on experience with Microsoft Power BI including data modeling, DAX development, dashboard design, workspace administration, and report performance optimization
• Hands-on experience with Microsoft Fabric including Lakehouse, Data Factory pipelines, OneLake, semantic models, and enterprise reporting architectures
• Experience querying, extracting, and transforming data from Splunk using Search Processing Language, dashboards, and application programming interfaces
• Strong SQL skills with the ability to design data models, perform transformations, and deliver scalable reporting solutions
• Ability to translate complex cybersecurity data into clear, accurate, and audience-appropriate visualizations and executive reporting
• Experience partnering with technical and non-technical stakeholders to gather business requirements and deliver reporting solutions that drive decision-making
• Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use.

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