Data Analyst - Cybersecurity Data Operations

• Hybrid opportunity based in Jersey City, NJ, with flexibility to attend stakeholder meetings in New York City as needed.
• Exposure to enterprise-scale cybersecurity data initiatives within a highly regulated financial-services environment.
• Opportunity to work closely with cybersecurity stakeholders, data development teams, and enterprise information protection programs.

How You Will Make An Impact

• Analyze and organize data originating from enterprise applications, spreadsheets, reports, and upstream source systems.
• Partner with stakeholders and data development teams to understand data sources being integrated into a centralized cybersecurity data warehouse.
• Translate business and technical needs into clear data requirements and source-to-target understanding.
• Clean, validate, and assess source data to improve quality and usability for downstream cybersecurity reporting and analytics.
• Analyze trends, patterns, and operational performance using Excel and business intelligence tools.
• Support data initiatives tied to data security, data loss prevention, encryption, and broader information protection programs.
• Communicate data findings, issues, and requirements effectively across technical and non-technical teams.

Join the cybersecurity data organization of a major global financial institution supporting enterprise information protection initiatives. This team works across security, data engineering, and business stakeholders to improve how cybersecurity data is collected, understood, and used across data security, data loss prevention, and encryption programs. The environment requires strong analytical thinking, attention to detail, and the ability to translate complex source-system data into clear requirements for technical delivery teams., * 10+ years of relevant professional experience is preferred for this senior-level requisition.

• Strong experience analyzing complex datasets and working with multiple upstream data sources.
• Demonstrated ability to gather, document, and translate data requirements for technical or development teams.
• Strong Excel skills and experience with business intelligence or reporting tools.
• Strong attention to detail with the ability to identify data-quality issues, patterns, and inconsistencies.
• Effective communication skills and experience partnering across business, cybersecurity, and technical teams.
• SQL and relational database experience is highly desirable.
• Python experience is a plus.
• Experience with Tableau, Power BI, Google Data Studio, or comparable visualization platforms is beneficial.
• Familiarity with enterprise information protection, encryption, DLP, or data security technologies is a strong advantage.
• Exposure to platforms such as Proofpoint, Varonis, Microsoft Purview, CyberArk, Venafi, or Azure Key Vault is beneficial.