About The Position

The Senior Data Analyst will work within the Enterprise Information Protection (EIP) team at a global financial services organization. The team supports the firm’s data security posture following enterprise-wide cyber health assessments and partners with application teams, security subject matter experts, and business users to reduce data exposure risk and improve governance controls. The role supports high-visibility data security remediation initiatives in a large, regulated enterprise environment. It involves using enterprise security tooling, collaborating across functions, and helping build and scale data protection processes and metrics for ongoing operations.

Requirements

  • 10+ years of experience as a Data Analyst, Security Analyst, or governance-focused analyst in enterprise environments.
  • Strong analytical skills, including experience validating findings, tracking remediation, and interpreting data risk.
  • Hands-on experience with data security, data governance, or information protection initiatives.
  • Ability to work with security tools, dashboards, and reporting platforms.
  • Ability to communicate clearly with technical teams and non-technical business users.
  • Experience working in fast-paced, results-driven environments with shifting priorities.

Nice To Haves

  • Varonis experience is strongly preferred.
  • Background in financial services, banking, or other highly regulated industries is preferred.

Responsibilities

  • Analyze and validate enterprise data security findings identified through cyber health assessments.
  • Support remediation efforts using the Varonis data security posture management platform.
  • Partner with application owners and data stakeholders to drive remediation actions and policy adherence.
  • Develop and maintain metrics, dashboards, and reporting to track remediation progress and operational effectiveness.
  • Collaborate with Varonis Application, Rules & Content subject matter experts to tune policies and improve detection accuracy.
  • Contribute to the definition and stabilization of repeatable data protection operational processes.
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