RevOps Data Analyst

Summary

Claroty is a global leader in cyber-physical systems protection, dedicated to securing critical infrastructure. As a RevOps Data Analyst, you will drive the Go-To-Market strategy and execution by translating data into actionable insights and collaborating with cross-functional teams.

Responsibilities

• Mine, clean, and analyze complex datasets to identify trends, build predictive data models, and deliver high-impact strategic insights
• Define, track, and report on key leading and lagging performance indicators for the RevOps and broader GTM organizations
• Own and manage the deployment of interactive dashboards, documentation of data definitions, and overall reporting infrastructure to ensure a single source of truth
• Partner closely with other business units (such as Finance) to support data requests, align key metrics, and streamline cross-functional workflows
• Translate intricate data findings into clear, executive-ready recommendations that support strategic decision-making

Skills

• Bachelor's degree in Data Science, Business Analytics, Finance, Statistics, or a related field
• 3–5 years of relevant professional work experience in data analysis, data science, or revenue operations
• Proven experience working directly within a RevOps or GTM function (Sales, Marketing, or Customer Success operations)
• Demonstrated experience building sophisticated data models, managing data definitions, and maintaining BI infrastructure
• Hands-on experience with modern forecasting and revenue analytics tools (e.g., Clari, Databricks)
• Familiarity with leveraging AI technologies and machine learning tools for predictive data analysis
• Strong SQL skills and experience managing enterprise BI tools (e.g., Tableau, PowerBI, Looker)

Qualifications

Must Haves

• Bachelor's degree in Data Science, Business Analytics, Finance, Statistics, or a related field
• 3–5 years of relevant professional work experience in data analysis, data science, or revenue operations
• Proven experience working directly within a RevOps or GTM function (Sales, Marketing, or Customer Success operations)
• Demonstrated experience building sophisticated data models, managing data definitions, and maintaining BI infrastructure

Nice to Haves

• Hands-on experience with modern forecasting and revenue analytics tools (e.g., Clari, Databricks)
• Familiarity with leveraging AI technologies and machine learning tools for predictive data analysis
• Strong SQL skills and experience managing enterprise BI tools (e.g., Tableau, PowerBI, Looker)

Benefits

• Variable compensation components such as equity or bonuses
• Details regarding the broader total rewards package will be shared prior to interviews
• Special accommodations are available upon request in all selection phases