Data Analyst

6 days ago

Israel CyberArk Full time ₪60,000 - ₪120,000 per year

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Israel

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Job ID - POS4488_1

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.

Job Description

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.
LI-Hybrid
LI-OS1
Qualifications
  • 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.
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.

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