Data Analyst III (Remote)

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. 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 CrowdStrike 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. 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 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 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 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 telemetry, SIEM data)
Bonus: Understanding of security concepts (e.g., MITRE ATT&CK framework, security operations experience)
Analytical Skills:
Strong statistical analysis and quantitative reasoning skills
Ability to translate ambiguous business/security questions into structured analyses
Communication Skills:
Excellent written and verbal communication skills
Ability to present findings to both technical and non-technical audiences
Benefits Of Working At CrowdStrike:
Market leader in compensation and equity awards
Comprehensive physical and mental wellness programs
Competitive vacation and holidays for recharge
Paid parental and adoption leaves
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
Great Place to Work Certified™ across the globe
CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.
CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. 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.
If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance.
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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 telemetry, SIEM data)
Bonus: Understanding of security concepts (e.g., MITRE ATT&CK framework, security operations experience)
Analytical Skills:
Strong statistical analysis and quantitative reasoning skills
Ability to translate ambiguous business/security questions into structured analyses
Communication Skills:
Excellent written and verbal communication skills
Ability to present findings to both technical and non-technical audiences

Work arrangement
Yes