Data Analyst; Hybrid

This role is performed in a hybrid model in RTP, North Carolina. Meet the Team

Cisco’s Data Security organization is a forward-looking team dedicated to advancing enterprise-scale data protection, governance, and security analytics. We operate across highly distributed cloud and SaaS environments, focusing on ensuring the integrity and safety of Cisco’s global data ecosystem through innovation and operational excellence.

As a Data Security Analyst, you will transform complex security telemetry into actionable risk insights that improve governance and reduce enterprise risk. You will play a critical role in strengthening data protection outcomes by working across cloud, SaaS, endpoint, DLP, and DSPM domains. This role is ideal for a candidate who thrives in large-scale environments, enjoys solving complex security problems through analytics, and can effectively translate technical findings into business risk and remediation priorities.

• Analyze enterprise-scale security telemetry across cloud, SaaS, endpoint, DLP, DSPM, and SIEM environments to identify data security risks, trends, and operational gaps.
• Contribute to executive-level reporting that communicates risk posture, remediation progress, and governance effectiveness.
• Partner closely with security engineers, architects, and operational teams to improve visibility, telemetry quality, and remediation outcomes.
• Support data governance initiatives, risk exception analysis, and the development of meaningful security metrics and risk indicators.
• Develop automation and modernization efforts, including workflow orchestration and AI-assisted security operations, to enhance operational efficiency and address emerging risks.

• 4+ years of experience in cybersecurity, security analytics, cloud security, or related technical risk disciplines.
• Proven experience working within large-scale, enterprise, or highly distributed environments.
• Hands‑on experience analyzing security telemetry using SQL and working with SIEM platforms or security data lakes.
• Proficiency in building dashboards and operational/executive-level reporting using tools like Power BI.
• Demonstrated ability to translate complex technical data and findings into actionable business risk insights for stakeholders.
• A strong understanding of NIST Cybersecurity Framework.

• Industry certifications such as Security+ or related cloud security credentials.
• Hands‑on experience with DLP telemetry, DSPM/security posture management, and endpoint telemetry analysis.
• Proficiency in workflow orchestration, API integrations, and scripting languages (e.g., Python) for automation and analytics.
• Familiarity with Microsoft Purview, Microsoft Defender, or graph database concepts.
• Experience with AI governance, AI risk metrics, LLM/data exposure concepts, or supporting insider risk analysis and security operations workflows.