Cyberark Data Analyst 

Israel 

552576897

As a Data Analyst at CyberArk, you’ll join the AI Solutions group, contributing to the development of intelligent identity security capabilities. This role sits at the intersection of data, product, and AI - giving you the opportunity to apply analytical thinking and technical skills to help shape real-world solutions. You’ll work alongside senior analysts, data scientists, engineers, and product managers to explore data, derive insights, and contribute to productizing AI-driven features that improve the performance, usability, and intelligence of our offerings. This is an ideal opportunity to kick-start your career in product analytics with mentorship, responsibility, and meaningful impact from day one

• Analyze product usage and behavioral data to support the design and improvement of AI-powered features.
• Work closely with product managers and engineers to translate insights into productized solutions that enhance functionality and user experience.
• Build and maintain dashboards, KPIs, and reports that drive product decision-making.
• Contribute to the development and validation of success metrics for new capabilities.
• Collaborate with data scientists on experiments, A/B tests, and model monitoring efforts.
• Ensure data quality and support scalable pipelines by working with data engineering teams.
• Communicate findings through clear presentations and visualizations that influence roadmap decisions.
• Develop a deep understanding of product workflows and user behavior to guide analytical priorities.

• 3 years of experience in an analytics role.
• Bachelor’s degree in Industrie Engineering, Information Systems, or related discipline.
• Proficiency in Python for data manipulation, analysis, and basic scripting is required.
• Strong SQL skills and experience querying structured data sources.
• Familiarity with BI tools such as Tableau, Looker, or Power BI.
• Analytical mindset with a keen interest in connecting data to user experience and product performance.
• Excellent communication skills-able to explain complex ideas clearly to technical and non-technical audiences.
• Comfortable working collaboratively in cross-functional teams.

• Experience with cloud-based ML infrastructure (e.g., AWS SageMaker, GCP Vertex AI) and big data tools (e.g., Spark, Airflow).
• Understanding of A/B testing, experimentation frameworks, or product metrics design.
• Interest or experience in cybersecurity, AI/ML, or identity security.