Principal Data Analyst

As a Principal Data Analyst, you will play a critical role in shaping the data strategy and transforming complex security data into actionable insights. You will partner with engineering, security operations, threat intelligence, and product teams to drive high-impact initiatives. This is a hands-on individual contributor position with significant influence across the organization., * Lead end-to-end analytical initiatives across security domains (e.g., threat detection, SIEM analytics, incident response, vulnerability management, identity security).

• Build, optimize, and maintain scalable data pipelines and security datasets.
• Apply advanced analytics and statistical methods to detect anomalies, uncover patterns, and support proactive threat mitigation.
• Develop dashboards, reports, and analytical frameworks that enable real-time visibility into security posture.
• Mentor analysts and collaborate with engineers to establish best practices for data quality, governance, and automation.
• Partner with leadership to drive strategic decisions through quantitative analysis.
• Translate ambiguous security problems into structured analytical approaches.

• 6+ years of experience as a Data Analyst, Data Scientist, or similar analytical role.
• Security industry experience (required) - e.g., SOC analytics, SIEM data, threat intel, log analysis, or cybersecurity product data.
• Strong Python skills for data processing, automation, and analysis.
• Expert SQL skills with experience across major relational databases (PostgreSQL, MySQL, Redshift, etc.).
• Strong understanding of KPIs, metrics, statistical analysis, and data visualization.
• Ability to communicate complex technical insights to both technical and non-technical audiences., * AWS experience preferable.
• Experience with security analytics tools (e.g., Splunk, Elastic, Chronicle, Snowflake security logs).
• Familiarity with cloud security, threat detection, identity access analytics, or vulnerability data.
• Experience building automated workflows and analytics in cloud ecosystems.
• Background in BI tools (Tableau, Power BI, QuickSight, Looker).