Claroty Logo

Claroty

RevOps Data Analyst

Reposted 23 Days Ago
Remote
Hiring Remotely in United States
100K-110K Annually
Mid level
Remote
Hiring Remotely in United States
100K-110K Annually
Mid level
Own RevOps data models and BI infrastructure to drive GTM strategy. Clean and analyze datasets, build predictive models, define and track leading/lagging KPIs, deploy dashboards, document data definitions, and deliver executive-ready insights while partnering cross-functionally with Finance and GTM teams.
The summary above was generated by AI
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.

Follow us on social media:

  • LinkedIn
  • LinkedIn Life Page
  • Facebook
  • Instagram

#LI-REMOTE

Similar Jobs

An Hour Ago
Remote or Hybrid
156K-211K Annually
Senior level
156K-211K Annually
Senior level
Artificial Intelligence • Cloud • Information Technology • Sales • Security • Software • Cybersecurity
Lead commercial strategy across Rapid7’s product portfolio, including pricing, packaging, positioning, bundling, value-based pricing, and go-to-market execution. The role partners with Product, Sales, Marketing, RevOps, Finance, and Deal Desk to analyze commercial metrics, develop models, guide CPQ and operational tooling, monitor competitors, and present recommendations to senior leadership. The position requires strong quantitative analysis, financial modeling, cross-functional influence, and execution in a B2B SaaS environment.
Top Skills: Business Intelligence PlatformsDashboardsData Warehouse ToolingEnterprise CpqSpreadsheet ModelingSQL
An Hour Ago
Remote or Hybrid
United States
191K-258K Annually
Expert/Leader
191K-258K Annually
Expert/Leader
Artificial Intelligence • Cloud • Information Technology • Sales • Security • Software • Cybersecurity
Architects and delivers foundational systems for an autonomous security investigation platform supporting MDR. Responsibilities include distributed data pipelines, query engines, orchestration, ML model infrastructure, scalability, reliability, observability, technical standards, design reviews, mentorship, and cross-team architecture. The role partners with ML, product, data science, and platform teams to solve complex technical problems across real-time security operations.
Top Skills: Amazon S3AWSData MeshDistributed Query EnginesDynamoDBEmbedding SystemsFlinkKafkaLlmsMl/Ai
Senior level
Artificial Intelligence • Big Data • Healthtech • Software • Biotech
Leads end-to-end IVD, companion diagnostic, clinical trial assay, tumor profiling, and SaMD development programs. Aligns internal cross-functional teams and biopharma partners across strategy, validation, clinical operations, regulatory submission, manufacturing, and commercialization. Owns governance, milestones, budgets, resources, risks, and partner relationships while delivering programs through regulatory approval or pivotal clinical trials.
Top Skills: Analytical ValidationAssay DevelopmentBioinformaticsBlaClinical ValidationCompanion Diagnostics (Cdx)Design ControlsEu IvdrFda Regulatory RequirementsIndIvdMaaNdaPhase I/Ii/IiiSoftware As A Medical Device (Samd)

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account