Data Analyst
Check Point Software · Tel Aviv-Yafo, Tel Aviv District, Israel
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- On site
- Full-time
- $110,000 / year
- Tel Aviv-Yafo, Tel Aviv District, Israel
Job highlights
- Analyze large-scale security data for AI innovation.
- Design data models and build reporting infrastructure.
- Collaborate with cross-functional teams for product impact.
- Utilize SQL and Python for complex data analysis.
- Transform raw data into actionable insights.
About the role
Data Analyst
Join Check Point’s AI & Innovation group to build the analytics foundation for next-generation security products. You'll work with large-scale firewall policy and traffic data, transforming raw semi-structured data (JSON policies, traffic logs) into structured analytics that drive AI-powered security innovations. You'll design data models, define KPIs, and build reporting infrastructure from scratch. You'll collaborate closely with data scientists, engineers, and product managers, directly influencing product direction through data-driven insights.
If you enjoy working hands-on with complex data and building structured analytics that drive real-world impact — we’d love to hear from you.
Key Responsibilities
- Design and implement data models to structure raw security data (JSON policies, traffic logs) into analytics-ready datasets
- Analyze semi-structured datasets to identify patterns, trends, and anomalies
- Build reusable, version-controlled data transformations and pipelines
- Apply statistical methods (hypothesis testing, significance tests) to validate findings
- Define KPIs and success metrics in collaboration with product/security teams
- Build and maintain dashboards for cross-functional stakeholders
- Translate analytical insights into actionable product recommendations
- Ensure data quality, metric consistency, and reliable reporting
Qualifications
- 3+ years of experience as a Data Analyst in a product or analytics environment
- Expert SQL skills and proficient Python for statistical analysis (pandas, numpy, scipy/statsmodels)
- Demonstrated ability to apply statistical methods to business problems
- Experience working with messy, semi-structured data (logs, JSON, APIs)
- Strong data modeling skills - creating reusable, scalable analytical datasets
- Experience with BI/visualization tools (Power BI, Tableau, Looker, or similar)
- Strong communication skills and ability to collaborate across teams
- Bachelor's degree in industrial engineering, Information Systems, Computer Science, or equivalent field
Advantage
- Familiarity with firewall technologies, networking, or security policies
- Experience supporting data science or AI workflows
Key skills/competency
- Data Analysis
- SQL
- Python
- Data Modeling
- Statistical Methods
- BI Tools
- Data Pipelines
- JSON
- Log Analysis
- Security Products
Skills & topics
- Data Analyst
- SQL
- Python
- Data Modeling
- Data Analysis
- Business Intelligence
- Statistical Analysis
- Data Pipelines
- JSON
- Security Data
How to get hired
- Tailor your resume: Highlight your 3+ years of data analysis experience, SQL, Python, and data modeling skills, specifically mentioning work with semi-structured data like JSON and logs.
- Showcase relevant projects: Include examples of building data models, defining KPIs, and creating dashboards, especially if related to security or AI.
- Prepare for technical questions: Brush up on SQL queries, Python libraries (pandas, numpy), statistical methods, and BI tools (Power BI, Tableau, Looker).
- Demonstrate collaboration: Be ready to discuss how you've worked with data scientists, engineers, and product managers to drive product decisions.
- Highlight security interest: If you have experience with firewall technologies or security policies, emphasize this as it's a key advantage.
Technical preparation
Master advanced SQL for complex queries.,Practice Python with pandas and numpy.,Review statistical methods and hypothesis testing.,Familiarize with BI tools like Power BI.
Behavioral questions
Describe a time you structured complex data.,How do you ensure data quality and consistency?,Share an instance of influencing product decisions.,How do you collaborate with technical teams?
Frequently asked questions
- What are the core responsibilities of a Data Analyst at Check Point Software?
- As a Data Analyst at Check Point Software, you will be responsible for designing and implementing data models, analyzing semi-structured datasets (like JSON policies and traffic logs), building data transformations and pipelines, applying statistical methods, defining KPIs, and creating dashboards to provide data-driven insights for next-generation security products.
- What technical skills are most important for this Data Analyst role at Check Point?
- Expert SQL skills and proficient Python for statistical analysis (pandas, numpy, scipy/statsmodels) are crucial. Experience with messy, semi-structured data (logs, JSON, APIs), strong data modeling skills, and experience with BI/visualization tools like Power BI, Tableau, or Looker are also highly valued for this Data Analyst position.
- Is experience with security technologies required for the Data Analyst position?
- While not strictly required, familiarity with firewall technologies, networking, or security policies is considered an advantage for this Data Analyst role. If you have this background, be sure to highlight it in your application.
- What kind of data will I be working with as a Data Analyst at Check Point?
- You will be working with large-scale firewall policy and traffic data. This includes transforming raw, semi-structured data such as JSON policies and traffic logs into structured analytics that will drive AI-powered security innovations.
- What is the expected level of experience for this Data Analyst role?
- The role requires at least 3 years of experience as a Data Analyst, preferably within a product or analytics environment. A Bachelor's degree in industrial engineering, Information Systems, Computer Science, or an equivalent field is also expected.
- How does this Data Analyst role contribute to Check Point's products?
- This Data Analyst role is integral to Check Point's AI & Innovation group. Your work will directly influence product direction by transforming raw data into structured analytics and providing data-driven insights that power AI-driven security innovations.
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