Job Description
- 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.
- Analyze product usage and behavioral data for AI-powered features.
- Translate insights into productized solutions with product managers and engineers.
- Build and maintain dashboards, KPIs, and reports for product decision-making.
- Contribute to developing and validating success metrics for new capabilities.
- Collaborate with data scientists on experiments, A/B tests, and model monitoring.
- Ensure data quality and support scalable pipelines with data engineering teams.
- Communicate findings through presentations and visualizations to influence roadmap.
- Develop deep understanding of product workflows and user behavior.
- 4+ 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.
- Strong SQL skills and experience querying structured data sources.
- Familiarity with BI tools such as Tableau, Looker, or Power BI.
Company Description
About CyberArk:
CyberArk (NASDAQ: CYBR), is the global leader in Identity Security. Centered on privileged access management, CyberArk provides the most comprehensive security offering for any identity – human or machine – across business applications, distributed workforces, hybrid cloud workloads and throughout the DevOps lifecycle. The world’s leading organizations trust CyberArk to help secure their most critical assets. To learn more about CyberArk, visit our CyberArk blogs or follow us on X, LinkedIn or Facebook.
Job Description
As a Senior Product 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.
- 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.
#LI-Hybrid
#LI-OS1
Qualifications
- 4+ 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.
Additional Information
- 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.
