Cybersecurity Data Analytics Lead (Remote)

CrowdStrike Inc.; City of Rome (NY); Ibrido; USD 110.000 - 170.000; Tempo pieno

Vantaggi offerti da questo lavoro

Equity awards

Wellness programs

Paid parental leave

Professional development

Descrizione del lavoro

CrowdStrike is seeking a Data Analyst to join the Office of Adversary Strategy. You will analyze security telemetry, threat intelligence feeds, and detection data to uncover patterns and drive data-informed decisions across our portfolio.

You will work with product and engineering teams to transform raw security data into actionable insights, build pipelines, and develop KPIs for measuring security product performance and adoption.

Competenze

• Bachelor's degree in data-related field or equivalent practical experience.
• 3–5 years in data analysis, preferably in cybersecurity or IT.
• Experience using AI to enhance decision-making and workflows.

Mansioni

• Analyze large volumes of security event data, endpoint telemetry, and threat intel feeds to identify trends and threats.
• Design and maintain dashboards and reports tracking key security metrics.
• Translate complex data findings into actionable insights for technical and non-technical stakeholders.
• Build and maintain data pipelines and reporting workflows using SQL, Python, and BI tools.
• Collaborate with data engineering to ensure data quality and accessibility.
• Contribute to KPIs and metrics frameworks for product performance and adoption.
• Stay current on cybersecurity trends to inform analysis.

Conoscenze

Data analysis

SQL

Statistical analysis

Communication

Formazione

Bachelor's degree in Data Science, Computer Science, Statistics, Cybersecurity, or related field

Strumenti

Python

Tableau

Power BI

Looker

Descrizione del lavoro

CrowdStrike is seeking a Data Analyst to join the Office of Adversary Strategy. You will analyze security telemetry, threat intelligence feeds, and detection data to uncover patterns and drive data-informed decisions across our portfolio.

You will work with product and engineering teams to transform raw security data into actionable insights, build pipelines, and develop KPIs for measuring security product performance and adoption.