Role Description
Are you a data-driven strategist who loves turning raw numbers into actionable growth? As our RevOps Data Analyst, you will be the analytical engine driving our Go-To-Market (GTM) strategy and execution. You won't just mine data—you will translate it into powerful, usable insights that shape the future of our revenue organization. Partnering cross-functionally with leadership, Finance, and GTM teams, you will own our data models, maintain our reporting infrastructure, and track the leading and lagging indicators that propel our business forward.
Responsibilities
• Data Modeling & Analysis: Mine, clean, and analyze complex datasets to identify trends, build predictive data models, and deliver high-impact strategic insights.
• GTM Strategy & Execution: Define, track, and report on key leading and lagging performance indicators for the RevOps and broader GTM organizations.
• Reporting & Dashboards: Own and manage the deployment of interactive dashboards, documentation of data definitions, and overall reporting infrastructure to ensure a single source of truth.
• Cross-Functional Collaboration: Partner closely with other business units (such as Finance) to support data requests, align key metrics, and streamline cross-functional workflows.
• Insight Delivery: Translate intricate data findings into clear, executive-ready recommendations that support strategic decision-making.
Qualifications
• 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.
Preferred Qualifications
• 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
• The expected base salary range for this role is between $100,000 - $110,000, determined by objective criteria including skills, qualifications, and experience level.
• This range represents base salary only and does not include variable compensation components such as equity or bonuses.
• Details regarding the broader total rewards package will be shared prior to interviews.
Company Description
Claroty empowers organizations to protect the mission-critical infrastructure that underpins modern life. The AI-powered Claroty Platform serves as the single source of operational truth, providing the deepest visibility and broadest protection across cyber-physical systems (CPS), leveraging five core solutions: asset inventory, exposure management, network protection, secure access, and threat detection.
Claroty helps organizations operationalize CPS protection through a programmatic approach designed to reduce risk, maintain operational integrity, and meet compliance–whether in the cloud with Claroty xDome or on-premise with Claroty Continuous Threat Detection (CTD). Claroty is deployed by hundreds of organizations at thousands of sites globally. The company is headquartered in New York City and has a presence in Europe, Asia-Pacific, and Latin America.
To learn more, visit
claroty.com
.