Data Analyst Remote, ROU

As a global leader in cybersecurity, CrowdStrike 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. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers 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:

CrowdStrike is looking for a Data Analyst to join our growing Generative AI Research Center. This is a junior/entry-level position with quick advancement opportunities. As Data Analyst you will focus on data and corpus labeling, as well as other data-related tasks critical to supporting our large language models (LLMs) and cybersecurity initiatives. This role is crucial in enhancing our products capabilities by ensuring the accuracy and quality of the data used to train models and detect threats, thereby supporting the overall mission of the Generative AI Research Center.

CrowdStrike is a cybersecurity company, but we do not require candidates for this role to have prior security industry experience. We will mentor and train in security topics as needed. We do expect a strong interest in CrowdStrike's mission and a willingness to engage with the needs of our product teams and customers.

If you are a hands-on engineer who loves technical challenges and wants to operate at scale, apply & let's talk!

Interviewing process: online and onsite where applicable

What You'll Do:

Label and annotate cybersecurity-related datasets to prepare them for analysis and machine learning tasks

Ensure labeling accuracy and consistency across different datasets, including threat intelligence data, incident reports, network logs, etc.

Gather data from various cybersecurity sources, including threat intelligence feeds, logs, and internal reports

Clean and preprocess data to make it suitable for analysis and modeling

Perform exploratory data analysis to uncover patterns, trends, and insights related to cybersecurity threats and vulnerabilities

Utilize statistical methods and tools to interpret data and identify potential security issues

Create and maintain dashboards and reports to communicate findings to cybersecurity stakeholders

Develop visualizations to present data in a clear and concise manner, highlighting key security metrics and trends

Work closely with analysts, data sc