Data Analyst III; Remote

As a global leader in cybersecurity, Crowd Strike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily.

Our customers span all industries, and they count on Crowd Strike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. Crowd Strikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation.

We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented Crowd Strikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters?

The future of cybersecurity starts with you.

About the Role:

Crowd Strike is looking for a Data Analyst to join the Office of Adversary Strategy. As a Data Analyst in this organization, you have the privilege of working with various types of cybersecurity data to support our larger mission of stopping breaches from a purposefully adversarial mindset.

We are seeking a skilled Data Analyst to join our team and support the ability to make data-informed decisions across our portfolio. In this role, you will analyze large-scale security telemetry, threat intelligence feeds, and detection data to uncover patterns, improve operations, and support strategic initiatives. You'll work cross-functionally with various product and engineering teams to transform raw security data into actionable insights.

If you are a hands-on data nerd who loves to run queries all day and wants to operate at scale, apply & let's talk!

What You'll Do:

Analyze large volumes of security event data, endpoint telemetry, and threat intelligence feeds to identify trends, anomalies, and emerging threats

Design and maintain dashboards and reports that track key security metrics

Translate complex security data findings into clear, actionable insights for both technical and non-technical stakeholders

Build and maintain data pipelines and reporting workflows using SQL, Python, Logscale, or similar tools

Collaborate with data engineering teams to ensure data quality, integrity, and accessibility

Contribute to the development of KPIs and metrics frameworks for measuring security product performance and adoption

Stay current on cybersecurity trends, adversary behaviors, and industry best practices to inform analysis

What You'll Need:

Curiosity and a deep desire for continuous learning

Education:

Bachelor's degree in Data Science, Computer Science, Statistics, Cybersecurity, or related field (or equivalent practical experience)

Experience:

3-5 years of experience in data analysis, preferably within cybersecurity, IT, or related technical domains

Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.

Technical

Skills:

Proficiency in querying large, complex, datasets, in particular graph databases

Experience with tools like Python or R for data analysis and automation

Familiarity with data visualization tools (Tableau, Power BI, Looker, or similar)
Experience working with large-scale, high-velocity datasets (logs, streaming…