Check Point Software Technologies

Revenue Operations Data Analyst - Temporary position

Check Point Software Technologies Tel Aviv, Tel Aviv, Israel

Computer and Network Security · 5,001-10,000 employees

16 h ago
data-analyst Junior (0-2 yrs) Full-time Temporary Israel
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About the role

The analyst will design and maintain data infrastructure while building automated analytical tools and dashboards to support global revenue operations. They will act as a bridge between management information systems and executive leadership to provide actionable insights for strategic decision-making.

What they look for

SQL Python ETL Snowflake Power BI Data Analysis Data Engineering Data Modeling API Integration Forecasting Automation Dashboarding Data Infrastructure Strategic Planning Communication Problem-solving

Requirements

Candidates must have at least one year of experience in data analysis or engineering with proficiency in SQL, Python, and ETL pipelines. A bachelor's degree in a quantitative field such as Computer Science, Mathematics, or Economics is preferred.

Full description

Company Description

Check Point’s Revenue Operations Forecasting & Analytics Group is looking for a Data Analyst who lives and breathes data and wants to operate at the very front line of strategic decisionmaking.

If you’re excited by the idea of shaping how a Worldwide Cyber Leader leverages data, AI, and automation to accelerate growth — this is where you belong.

In this role, you will be a core force in driving the analytical engine that powers Check Point’s most senior leadership. You will design and build highvelocity analytical products, realtime dashboards, and AIenhanced insights that guide strategic decisions across our global revenue organization. Your work will directly support the company’s growth trajectory and help tackle the most complex challenges facing our GTM organization.

You will also take a leading role in building and maintaining the data infrastructure that fuels RevOps at scale. Acting as the connective tissue between our Management Information Systems, our Forecasting Experts, and executive leadership, you will ensure a seamless, intelligent, and futureready data experience.

This is a highownership, highimpact role in a team that moves fast, experiments boldly, and operates at the cutting edge of data technologies.

Temporary position for 8 months 

Job Description

  • Build & Own Data Infrastructure: Design, maintain, and evolve the data foundations that power RevOps decisionmaking at a global scale, ensuring reliability, scalability, and fast access to insights
  • Support GTM Leadership Cadences: Deliver accurate, timely, and insightrich analytics for executivelevel business reviews, forecasting cycles, pipeline deepdives, and strategic planning sessions
  • Own ETL processes, building robust, automated, and highperformance data flows that support rapid operational execution
  • Develop Automated Analytics & AIDriven Tools: Build semiautomatic and fullyautomatic analytical tools, dashboards, and models that enhance visibility, accelerate decisionmaking, and unlock new capabilities across the GTM organization
  • Integrate APIs & CrossSystem Data Streams: Connect and orchestrate data from multiple systems, platforms, and services to create a unified, intelligent data ecosystem for Sales, Marketing, and RevOps stakeholders.

Qualifications

  • 1+ years of handson experience as a data analyst or data engineer, preferably in a fastpaced, datadriven environment
  • Proven mastery of SQL & Python
  • Strong experience building complex ETL pipelines and working with modern data architectures
  • Practical experience with Snowflake as a cloud data platform
  • Experience developing dashboards and analytical assets in Power BI
  • Familiarity with data models, reporting packages, and multidatabase environments (SQL Server, MySQL, PostgreSQL, etc.)
  • Comfortable collaborating across time zones and cultures, with strong communication and high EQ
  • Bachelor’s degree in Computer Science, Industrial Engineering, Mathematics, or Economics — preferred
  • Analytical mindset, problemsolving orientation, and strong attention to detail
  • Referral Category: Entry-Level Position
  • CP Department: Global Revenue Operations
  • Office Location: Tel-Aviv
  • Career site Category: Data and Analytics

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