About The Position

The Senior Cybersecurity Data Analyst will support a global cybersecurity technology rationalization initiative at a leading global financial institution. The initiative aims to consolidate security tools, eliminate redundant solutions, improve visibility into technology investments, and establish consistent governance standards across the enterprise. The role works with Cybersecurity Architecture, Data Engineering, Finance, Procurement, Technology leadership, and regional security teams across the Americas, Europe, and Asia-Pacific. The analyst maintains and improves a centralized inventory of cybersecurity technologies, including tools, vendors, contracts, capabilities, and related financial information. The position consolidates, standardizes, validates, integrates, and governs portfolio data, including within Databricks. It develops executive dashboards, KPI reporting, and analytical models using Power BI, SQL, and Excel to inform decisions about technology utilization, spending, portfolio performance, rationalization, lifecycle management, and investment. The role also establishes data quality standards, documentation, capability mappings, and reporting processes, and translates complex technology and financial datasets into actionable recommendations for leadership and business stakeholders. The role is remote or hybrid within the United States, with Charlotte, North Carolina identified as the primary office location; final onsite expectations are subject to confirmation. The engagement is W2 only, with no C2C or 1099.

Requirements

  • Extensive professional experience in data analytics, business intelligence, technology portfolio management, or related enterprise technology functions; the requisition is classified as senior-level (10+ years).
  • Strong experience analyzing cybersecurity technology inventories, IT assets, vendor portfolios, contracts, and technology-related financial information.
  • Hands-on proficiency with Databricks, SQL, Power BI, and advanced Excel for data analysis, modeling, integration, and reporting.
  • Demonstrated experience collecting, normalizing, reconciling, and governing data from multiple enterprise systems.
  • Understanding of cybersecurity architecture, security technology capabilities, and enterprise security platforms.
  • Experience supporting technology lifecycle management, asset management, portfolio rationalization, or application/tool consolidation.
  • Ability to analyze vendor contracts, licensing information, technology costs, and investment data to identify optimization opportunities.
  • Experience developing executive-level dashboards, performance indicators, and actionable management reporting.
  • Strong documentation, data governance, stakeholder engagement, and analytical problem-solving skills.
  • Ability to work effectively with technical and nontechnical stakeholders across multiple departments and geographic regions.

Nice To Haves

  • Familiarity with Cyber Risk Institute (CRI) mappings, security capability frameworks, or strategic technology platform governance.
  • Experience supporting large-scale enterprise transformation or technology modernization initiatives.

Responsibilities

  • Maintain and enhance a centralized inventory of enterprise cybersecurity technologies, including tools, vendors, contracts, capabilities, and associated financial information.
  • Consolidate, standardize, and validate technology portfolio data from multiple business units and global regions.
  • Partner with data engineering teams to integrate, organize, and govern cybersecurity technology information within Databricks.
  • Develop executive dashboards, KPI reporting, and analytical models using Power BI, SQL, and Excel.
  • Provide visibility into technology utilization, spending, and portfolio performance.
  • Analyze overlapping security capabilities, redundant platforms, licensing arrangements, and technology dependencies to identify consolidation opportunities.
  • Support cybersecurity technology rationalization, platform standardization, and legacy tool decommissioning initiatives.
  • Evaluate technology lifecycle information, vendor contracts, and financial data to support cost optimization and investment decisions.
  • Establish and maintain data quality standards, documentation, capability mappings, and reporting processes.
  • Translate complex technology and financial datasets into actionable recommendations for security leadership and business stakeholders.
  • Collaborate with Cybersecurity Architecture, Finance, Procurement, Engineering, and regional security teams to improve portfolio transparency and governance.
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