Cybersecurity Data Analyst

We are seeking a Cybersecurity Data Reporting Analyst to execute the end-to-end operating rhythm for cybersecurity metric reporting, from monthly data collection through executive-ready deliverables. As the Cybersecurity Data Reporting Analyst, you will build and maintain manual and automated dashboards and drive data quality, trend analysis, and follow-through on metric action items.

Skills:

• Advanced skills in Excel, Power BI (data modeling, DAX, RLS, scheduled refresh), and PowerPoint
• Proficiency in SQL and data preparation; knowledge of data governance and documentation best practices
• Strong attention to detail with proven accuracy in validating and interpreting data
• Understanding of key cybersecurity metrics and domains (e.g., vulnerability management, incident response, IAM, control compliance)
• Demonstrated ability to create clear, executive-level data visualizations and insights
• Excellent communication, stakeholder engagement, and time-management skills
• Experience with enterprise tools such as Snowflake, Jira, SIEM, GRC and cloud platforms is a plus.

Education:

• Bachelor s degree in Information Technology, Business Administration, or a related field.
• 3 5+ years of experience in cybersecurity analytics, business intelligence, or IT reporting
• Relevant certifications such as Microsoft Power BI (PL-300), CISSP, or CISM are a plus.

Key Responsibilities:

• Metrics Operating Cadence

• Coordinate monthly metric gathering with defined timelines and reporting processes.
• Lead metric review meetings; facilitate discussion on trends, risks, and remediation; capture minutes and decisions.
• Track and follow up on action items with metric owners; ensure timely closure and evidence collection.
• Finalize the monthly PowerPoint metrics pack for executive reporting.
• Maintain the master metrics calendar, stakeholder distribution lists, and reporting deadlines.

• Dashboard Development (Manual and Automated)

• Build manual dashboards in PowerPoint using Excel pivot tables, slicers, and charts; ensure consistent formatting, version control, and narrative.
• Develop automated Power BI dashboards, including data models, DAX measures, Power Query transformations, row-level security, and scheduled refresh.
• Design intuitive visuals and executive summaries highlighting trends, exceptions, SLAs, KPIs and KRIs.
• Implement a sustainable content management process (MS Teams) for source files, datasets, and dashboard artifacts.

• Documentation and Governance

• Create and maintain SOPs for metric requests, creation, review, and publishing; define roles and responsibilities (RACI).
• Maintain a metrics inventory/data dictionary with metric definitions, owners, data sources, calculation logic, reporting cadence, and audiences.
• Establish change control for metric definitions and reporting packs; manage versioning and approvals.

• Data Quality and Analysis

• Perform data validation, reconciliation, and anomaly detection; track data quality issues and remediation.
• Analyze trends, variability, and correlations; highlight root causes and operational risks.
• Partner with metric owners to refine calculations, thresholds, and targets; ensure consistency across domains.

• Continuous Improvement

• Identify opportunities to automate manual metric collection workflows; prioritize a roadmap to increase data reliability and reduce cycle time.
• Standardize templates, visuals, and naming conventions; improve metric maturity and business relevance.
• Identify opportunities to improve operational metric processes, including metric collection, review and reporting, requests and changes.