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.
Good To Have:
- 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.
Must Have:
- 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.
- Strong SQL skills and experience querying structured data sources.
- Familiarity with BI tools such as Tableau, Looker, or Power BI.
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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