As a general 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. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily.

We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. 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.

The future of cybersecurity starts with you. CrowdStrike 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, Analyze large volumes of security event data, endpoint telemetry,



and threat intelligence feeds to identify trends, anomalies, and emerging threats 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 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 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 telemetry, SIEM data)



Strong statistical analysis and quantitative reasoning skills Ability to translate ambiguous business/security questions into structured analyses Competitive vacation and holidays for recharge Professional development opportunities for all employees regardless of level or role Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections Vibrant office culture with world class amenities The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. 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 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 telemetry, SIEM data) Strong statistical analysis and quantitative reasoning skills Ability to translate ambiguous business/security questions into structured analyses

📌 Data Analyst Iii (Remote) (La Mancha)
🏢 CrowdStrike
📍 La Mancha