Human Resources Bi Analyst jobs at Cyberark in Israel

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.

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.

• 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.

• 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.

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. 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.

• 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.

• 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.

• Engage with the HR stakeholders to explore business processes, gather requirements, and define data products.
  Work with the BI team to define and design data models and processes, lead the data products testing and be responsible on implementation in the company.
• Develop reports and dashboards using Tableau.
• Manage End-to-end data related projects with full delivery accountability (on time & scope, data quality & integrity, usability).
• Partner with the AI teams to integrate AI capabilities into HR analytics workflows

• BA in Industrial Engineering/Economics.
• 2-3 years of hands-on experience using Tableau or similar – A Must
• Advanced SQL skills & knowledge – an advantage

• experience in data analytics dashboard design – A Must
• Deep understanding of business processes: HR – A Must

• Excellent interpersonal skills and a proven ability to collaborate with others in a global team.

• English at a high standard

• Highly motivated, self-learner with the ability to manage multiple tasks

You will be responsible for the daily operation of key data governance tools and processes ensuring metadata is properly cataloged, access controls are executed in line with policy, and governance artifacts are kept up to date. You'll support both business and technical stakeholders by maintaining system integrity, resolving issues, and enabling seamless governance execution.

Key Responsibilities:

• Operate and manage metadata tools (e.g., Alation), including dataset onboarding, metadata documentation, and usage monitoring
• Create and maintain a comprehensive data governance inventory, including data dictionaries, metadata repositories, and other key artifacts
• Manage access requests and workflows, ensuring timely and compliant access provisioning
• Develop and maintain reports and dashboards that track governance adoption, y, and tool usage
• Conduct research to support the development and refinement of policies, procedures, and tool configurations
• Collaborate with data stewards, business users, and technical teams to support metadata curation and governance adoption
• Assist in drafting and maintaining governance documentation, including standards, guidelines, and procedures

• 1–3 years of experience in data governance, data management, or a related data operations role
• Familiarity with metadata management platforms (e.g., Alation, Collibra), including cataloging, documentation, and stewardship processes
• Understanding of core data governance principles: metadata, data ownership, access control, and policy compliance
• Strong organizational skills and attention to detail, especially in maintaining documentation and data inventories
• Proficiency in reporting and visualization tools (e.g., Power BI, Tableau)
• Excellent English communication skills, both written and verbal—comfortable working with both technical and non-technical stakeholders
• Experience supporting cross-functional data governance or compliance initiatives – advantage

As a Software Engineer, you will innovate, design, implement, maintain,
and evolve our products and solutions. You have a keen eye for securely written, performant, and
scalable code.
As a Software Engineer, you will (responsibilities):
The points below are not a checklist for the role, but more a guide to what we look
for!

• Build & design secure .NET applications.
• Follow best practices for software development, including security reviews, code
• Reviews, writing unit, integration, and system tests.

The ideal Engineer will be armed with:

• A proven track record of helping customers succeed, ideally in an enterprise setting.
• Interest in working with cutting-edge technology in a fast-growing company and communities.
• Ability to adapt to and respond to circumstances with urgency and pragmatism.
• A high degree of emotional intelligence; someone who is approachable and can communicate effectively with anyone

What Sets You Apart? (Qualifications)

• 2-4 years of relevant experience
• B.S (CS, CSE, or equivalent) and 2 years’ experience
• M.S/Ph.D. (CS, CSE, or equivalent)

Needed skills (Full-stack Developer)

• Hands-on experience and solid knowledge in following technologies:
• Golang and/or C# and .NET
• Test-Driven Development (unit, integration, end-to-end)
• MS SQL Server based applications
• Windows Services including IIS
• Experience in Agile methodologies for software development
• Ability to write clean, consistent, well documented code following best practices of theindustry and CyberArk.
• Develop software on schedule in collaboration with team members.
• Excellent verbal and written communication skills

Helpful skills

• Experience with Linux or Unix operating systems.
• Web Development on .NET
• Programming and debugging experience in modern UI frameworks (React JS, Angular UI)
• Programming and debugging experience in legacy UI Frameworks (JavaScript, HTML)
• Background with security practices, principles and/or security software related Development experience
• Experience with IT related devices and services (networks, network protocols, PKI, SSH, cloud services, etc.)