Data Analyst

🕒 May 28

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CrowdStrike

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2011

🔒 Cybersecurity

☁️ SaaS

🤖 Artificial Intelligence

Cybersecurity • SaaS • Artificial Intelligence

CrowdStrike is a cybersecurity company that provides cloud-based security services to stop breaches. It is recognized as a leader in endpoint protection, identity and cloud security, and managed detection and response. CrowdStrike's platform, Falcon, integrates artificial intelligence to offer real-time visibility, detection, and protection against sophisticated cyber threats. The company is lauded for its effectiveness in securing networks and data, making it a trusted partner for businesses worldwide.

📋 Description

• 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 scientists, engineers, and other team members to support their data needs • Support the implementation and optimization of MLOps pipelines, leveraging data insights to deploy, monitor and scale machine learning models for different solutions • Participate in team meetings and contribute to project planning and discussions, providing data-driven insights • Document processes, methodologies, and insights gained from data analysis and labeling activities • Maintain clear records of data sources, cleaning steps, and labeling criteria to ensure reproducibility and auditability

🎯 Requirements

• Bachelor's degree in Computer Science or related STEM field • Proficiency in data manipulation and analysis tools (e.g., Python, SQL) • Familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch) • Experience with data labeling and annotation tools • Strong analytical and problem-solving skills, with an understanding of cybersecurity concepts • Excellent communication and collaboration abilities • Attention to detail and a commitment to data accuracy

🏖️ Benefits

• 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