RevOps Data Analyst: Drive GTM Insights & Strategy

Claroty; New York (NY); On-site; USD 100,000 - 110,000; Full time

Job summary

Claroty in New York is seeking a RevOps Data Analyst to support the growth of our GTM strategy through rigorous data insights. You will own data models, maintain reporting infrastructure, and deliver executive-ready analyses that translate complex datasets into actionable recommendations for Finance and GTM leadership.

A strong background in SQL, BI tooling, and forecasting is required to drive data-driven decision making across the organization.

Qualifications

• 3–5 years of relevant work experience in data analysis, data science, or RevOps/GTM.
• Experience working directly within RevOps or GTM functions (Sales, Marketing, CS).
• Strong data modeling and BI infrastructure experience.

Responsibilities

• Mine, clean, and analyze datasets to identify trends and build predictive models.
• Define, track, and report KPIs for RevOps and GTM functions.
• Own dashboards, data definitions, and the reporting infrastructure.
• Collaborate with Finance and other units to align metrics and workflows.
• Translate findings into executive-ready recommendations.

Skills

SQL

Forecasting tools

Revenue analytics

BI tools

Education

Bachelor's degree in data-related field

Tools

Tableau

Power BI

Looker

Databricks

Clari

Job description

Description

We’re growing and looking to hire a

People First, Customer Obsession, Strive for Excellence, and Integrity.

Claroty is a global leader in cyber-physical systems (CPS) protection, dedicated to securing the critical infrastructure that keeps the world running. We’re a fast-growing, award-winning team where innovation meets purpose—and we want you to help us define the future of cybersecurity.

Description

We’re growing and looking to hire a RevOps Data Analyst who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity.

Claroty is a global leader in cyber-physical systems (CPS) protection, dedicated to securing the critical infrastructure that keeps the world running. We’re a fast-growing, award-winning team where innovation meets purpose—and we want you to help us define the future of cybersecurity.

About The Role

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

As a RevOps Data Analyst, your impact will be:

• 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.
  
  

Requirements

What you need to succeed in this role:

• Education: Bachelor’s degree in Data Science, Business Analytics, Finance, Statistics, or a related field.
• Experience: 3–5 years of relevant professional work experience in data analysis, data science, or revenue operations.
• Domain Expertise: Proven experience working directly within a RevOps or GTM function (Sales, Marketing, or Customer Success operations).
• Technical Proficiency: 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).
  
  

About Claroty

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 .

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. Claroty is an equal-opportunity employer committed to fostering a diverse and inclusive work environment for all. We encourage applications from candidates of ALL backgrounds, and special accommodations are available upon request in all selection phases.

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