Senior Data Analyst
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
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. 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 :
- 4 years of experience in an analytics role.
- Bachelors 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.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
