Product Data Analyst- Intern

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

We are seeking a highly motivated and detail-oriented student to join our dynamic team as a Product Data Analyst Intern. In this role, you will play a crucial part in analyzing product data to drive insights and support decision-making processes. This is an excellent opportunity for a student passionate about data analysis and cybersecurity to gain valuable experience in a fast-paced industry and with a growing market leader.

Responsibilities:

• Collect, clean, and organize product data from various sources, including internal databases and product telemetry.
• Analyze product performance metrics, user data, and customer feedback to identify trends, patterns, and opportunities for improvement.
• Collaborate 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 to drive product decision-making.
• Conduct ad-hoc analyses to address specific business questions and support strategic decision-making.
• Stay up-to-date with industry trends and best practices in data analysis and cybersecurity to contribute innovative ideas and solutions.

#LI-Hybrid

#LI-OC1

Qualifications

Currently enrolled in a Bachelor's degree program in Economics, Business Administration, Industrial Engineering, or a related field.

• Strong analytical skills with the ability to interpret complex data sets and draw actionable insights.
• Proficiency in data manipulation and analysis using tools such as Python, R, SQL, or similar programming languages.
• Experience with data visualization tools such as Tableau, Power BI, or similar platforms.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams.
• Proactive attitude with a strong desire to learn and grow in a fast-paced environment.
• Passion for cybersecurity and a keen interest in leveraging data to solve complex problems.
• Fluent in English, with strong speaking, reading, and writing skills