Data Integrity Coordinator

At Check Point, what you do matters. Every day, we protect over 100,000 organizations worldwide from increasingly sophisticated cyber and AI-driven threats, securing their AI transformation.

Our prevention-first approach safeguards hybrid networks, cloud environments, digital workspaces, and AI systems, stopping attacks before they happen.

This is where innovation meets real-world impact. You’ll help customers across industries operate with confidence in a rapidly changing digital world, working alongside smart, curious people who take ownership, challenge assumptions, and solve complex problems.

We’re proud to be recognized by TIME, Newsweek, and Forbes for excellence and workplace culture.

What really sets Check Point apart is the opportunity to grow, contribute, and help companies navigate their AI transformation securely.

If you’re excited to work at the forefront of AI-driven security on a global scale, this is the place to do it.

Job Description

• Ensure accuracy, consistency, and reliability of data across systems by performing regular data validation and quality checks.
• Monitor and maintain data integrity by identifying discrepancies, duplicates, and errors, and taking corrective actions.
• Manage data enrichment activities by researching and updating missing or incomplete information.
• Collaborate with cross-functional teams (operations, IT, business units) to resolve data-related issues and improve data processes.
• Maintain and update databases using tools such as SAP, Salesforce, or other data management systems.
• Develop and implement data quality standards, procedures, and best practices.
• Generate reports and dashboards to track data quality metrics and highlight trends or issues.
• Support data migration, cleansing, and transformation initiatives as required.

Qualifications

• 1+ years of experience in data management, data quality, or data integrity roles, with hands-on exposure to data enrichment and validation processes.
• Proficiency in data management tools and platforms; experience with systems such as SAP or Salesforce is an added advantage.
• Bachelor’s degree in Information Systems, Industrial Engineering (with an Information Systems focus), Data Analytics, or a related field involving large and complex datasets.
• Strong quantitative and analytical skills with the ability to interpret and manage high-volume data accurately.
• Exceptional attention to detail and a commitment to maintaining data accuracy, consistency, and reliability.
• Good research and problem-solving skills with the ability to identify discrepancies and implement corrective actions.
• Ability to work independently as well as collaboratively in a fast-paced, data-driven environment.