As a Senior Product Analyst at CyberArk, youll 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. Youll 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.
Requirements: 4+ years of experience in an analytics role.
Bachelors degree in industrial 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.
This position is open to all candidates.