Be Part Of A High-Performing Team:
Join a globally recognized financial services organization operating at the forefront of banking, risk management, and technology innovation. This team supports enterprise-scale cybersecurity and data operations initiatives that protect critical financial infrastructure and enable secure, data-driven decision-making. The Cyber Data Operations function partners closely with security engineering, data development, and business stakeholders to ensure accurate, reliable, and actionable cyber data across the enterprise. The environment is highly collaborative, detail-oriented, and mission-driven, with a strong emphasis on precision, governance, and cross-functional alignment.
What's In Store For You:
- Opportunity to contribute to enterprise-level cybersecurity data initiatives
- Exposure to complex data ecosystems and cross-functional stakeholder engagement
- A fast-paced, highly regulated financial services environment with strong emphasis on quality and impact
How You Will Make An Impact:
- Analyze and scrub data from upstream source systems before ingestion into the Cyber Data Warehouse (CyberDW)
- Partner with stakeholders to understand business and security reporting needs
- Translate business requirements into technical data requirements for development teams
- Gather, organize, and validate data from internal systems, spreadsheets, and reporting platforms
- Identify trends, anomalies, and data quality issues using Excel and BI tools
- Support data integrity, reconciliation, and documentation efforts across cyber data domains
Are you an experienced data analyst ready to make an impact in cybersecurity operations?
- 5–10+ years of experience in data analysis, reporting, or technical data support roles
- Strong Excel skills with ability to analyze trends and validate datasets
- Experience gathering requirements and translating business needs into technical specifications
- Exposure to SQL and relational databases (hands-on querying preferred)
- Python proficiency is a strong plus
- Familiarity with data visualization tools such as Tableau, Power BI, or similar platforms
- Strong attention to detail and ability to interpret data within a business and risk context
- Effective communication skills with experience working across technical and non-technical teams