Senior Cybersecurity Data Analyst - Remote

CrowdStrike Inc.; United States; À distance; USD 90 000 - 120 000; Plein temps

Avantages offerts par ce poste

Market-leading compensation

Wellness programs

Generous vacation

Parental leave

Professional development

Employee networks

Vibrant office culture

Résumé du poste

CrowdStrike is seeking a Data Analyst to join the Office of Adversary Strategy. You will analyze large-scale security telemetry, threat intelligence, and detection data to uncover patterns and support data-informed decisions.

You'll build dashboards, create reporting workflows, and partner with product and engineering teams to turn raw data into actionable insights for both technical and non-technical stakeholders.

Qualifications

• Bachelor's degree in data science, CS, statistics, or cybersecurity.
• 3–5 years of data analysis experience, preferably in cybersecurity.
• Experience using AI to improve decision-making and workflows.
• Proficient in SQL and Python for data analysis.
• Experience with large-scale datasets (logs, telemetry).

Responsabilités

• Analyze large volumes of security event data to identify trends.
• Design dashboards and reports for security metrics.
• Translate findings to technical and non-technical stakeholders.
• Build data pipelines and workflows using SQL, Python, or similar.
• Collaborate with data engineering to ensure data quality.
• Develop KPIs and metrics for product performance.
• Stay current on cybersecurity trends.

Connaissances

SQL

Python

Data visualization

Graph databases

AI in decision making

Security telemetry

Communication

Formation

Bachelor's degree in Data Science, CS or related

Outils

Tableau/Power BI

Looker

SIEM tools

Description du poste

CrowdStrike is seeking a Data Analyst to join the Office of Adversary Strategy. You will analyze large-scale security telemetry, threat intelligence, and detection data to uncover patterns and support data-informed decisions.

You'll build dashboards, create reporting workflows, and partner with product and engineering teams to turn raw data into actionable insights for both technical and non-technical stakeholders.