Data Protection Analyst (Remote)
CrowdStrikeUSA - Remote, CA$85k – $120kPosted 28 March 2026
Tech Stack
Job Description
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 seeking a skilled Data Protection Analyst to support and contribute to a comprehensive data protection program. Reporting directly to the Data Protection Manager, this individual contributor role will provide operational support for Data Protection initiatives, implement data labeling mechanisms, and contribute to data cataloging and mapping efforts.
What You'll Do:
Triage DLP events, ensuring tool effectiveness and adherence to data protection policies.
Assist in translating the enterprise data classification framework into technical labels and policies, and help ensure consistent application across data stores.
Support the configuration and tuning of Data Protection solutions.
Help map and catalog data across various environments (cloud, on-premise).
Operations Support - s upport investigations performed by the Internal Investigations team as needed.
Occasionally support Legal and IT with eDiscovery processes.
Enforce data handling standards, data retention schedules, and disposal practices as defined by governance frameworks.
Contribute to other data protection and security duties as assigned.
What You'll Need:
2 years of specialized experience in data protection and/or data loss prevention.
1 years of experience with CrowdStrike Falcon for Data Protection products.
1 year experience in information security/cybersecurity.
1 year experience in a SIEM query language (e.g. CQL, SPL, KQL).
Foundational understanding of Data Protection technologies.
Experience with DLP analysis, tuning, and policy creation.
Familiarity with data classification methodologies.
Strong analytical and problem-solving skills, with an ability to adapt quickly in a dynamic security environment.
Strong communication and documentation skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Familiarity with data governance frameworks and data lifecycle management.
Familiarity with eDiscovery processes (e.g. collections, legal holds).
Bachelor's degree in Information Security, Computer Science, or related field.
Bonus Points:
Relevant certifications (e.g., CIPT, Security, CISSP, etc.) or equivalent experience preferred.
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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 emp ... (truncated, view full listing at source)
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