Revenue Operations Data Analyst - Temporary position

Why Join Us?

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!

Key Responsibilities

• 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.
  
  

• 0–2 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