Senior Security Data Analyst

Location: United States
Workplace: Remote
Employment: Full Time
Salary: —

Posted 1mo ago

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Responsibilities

Establish and monitor the department's primary data repositories, ensuring datasets remain authoritative, accurate, and structured for long-term usability.
Proactively audit complex security datasets to identify, investigate, and correct data inconsistencies, gaps, or logic errors across core tracking systems.
Design and execute structured data normalization workflows, blending disparate data streams from various enterprise tools (e.g., Asana, AODocs, ServiceNow, internal sheets) into a unified architecture.
Document strict data lineage, tagging standards, and processing rules to provide complete audit traceability and compliance validation for all reported metrics.
Design, build, and optimize enterprise-level security dashboards and performance tracking views using data visualization tools (e.g., Tableau, Looker Studio).
Synthesize complex data trends, operational velocities, and technical metrics into concise, data-backed summaries and presentation-ready content for senior executive leadership.
Compile, validate, and organize historical data packages and KPI trends to feed directly into departmental Monthly Readouts and Quarterly Business Reviews (QBRs).
Execute systematic data verification and compliance auditing processes to support internal controls oversight and risk management frameworks.
Manage, prioritize, and execute incoming ad-hoc data requests and deep-dive analytical queries from across the broader physical security organization within established turnaround windows.
Collaborate logistically with Project Managers, Coordinators, and Technical Writers to gather accurate data inputs, validate cross-functional dependencies, and ensure metric integrity.
Implement and support AI-driven data analysis workflows, utilizing modern generative AI tools and scripts to accelerate data cleansing, categorization, and pattern recognition.
Identify opportunities to automate manual data collection and reporting mechanics, continuously improving data pipeline efficiency and reducing time-to-insight.
Build, deploy, or maintain custom low-code/no-code applications and automated workflows using Google AppSheet, extending applications with custom scripting (e.g., Google Apps Script, Python) as required to facilitate webhooks, automated multi-system syncs, or automated trigger-based notifications.

Requirements

Experience with data visualization tools such as Tableau or Looker Studio
Experience with enterprise tools such as Asana, AODocs, or ServiceNow
Experience with Google AppSheet for low-code/no-code application development
Experience with Google Apps Script or Python for custom scripting
Experience with AI-driven data analysis workflows and generative AI tools
Experience with data normalization, data lineage, and compliance auditing

Skills

Asana
AODocs
ServiceNow
Tableau
Looker Studio
Google AppSheet
Google Apps Script
Python
AI
Generative AI

Responsibilities

Requirements

Skills

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