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 .

• Develop scalable analytical solutions using Power BI, Azure Databricks, SQL, and Python. • Design and maintain dashboards, KPI frameworks, semantic models, and self-service analytics solutions. • Transform data into actionable insights that support strategic business decisions. • Apply statistical and analytical techniques to identify trends, opportunities, and business impacts. • Perform exploratory analysis, ad hoc studies, and support experimentation initiatives. • Partner with Product, Commercial and Technology teams to solve business problems through data. • Ensure data quality, consistency, governance, and reliability across analytical products. • Follow software engineering best practices, including Git-based development, version control, testing, and CI/CD processes. • Communicate insights through effective data storytelling, visualizations, and executive presentations.

• The Manager, Reporting Analytics is a senior hands-on individual contributor responsible for producing SQL-based reporting and business intelligence dashboards that support ACO performance, quality measure tracking, cost trend analysis, and risk adjustment and stratification. • Build and maintain SQL-based reporting and business intelligence dashboards for risk stratification, patient attribution, quality measure performance, cost trend analysis, ACO benchmarking, and risk adjustment and stratification • Manage multiple concurrent reporting projects across healthcare and clinical data, ensuring accuracy and timely delivery • Maintain documentation and quality standards for own analytical outputs and support the team in developing documentation and quality standards • Triage inbound reporting requests and reframe them into clear, prioritized deliverables • Validate reporting logic against business context before delivery • Act as a reliable point of contact for Product, Finance, and clinical stakeholders on reporting needs • Communicate findings clearly to varied audiences, using data visualization where helpful • Partner with peers and product owners to design effective reporting solutions.

• Analyze key metrics, identify opportunities and develop reporting and dashboards to inform Partner priorities and organizational needs • Apply in-depth knowledge of analytical techniques to identify patterns, trends, and correlations in large datasets to understand patient populations, healthcare utilization, cost drivers, quality performance, and risk adjustment • Use requirements to develop dashboards aligned with the stakeholder needs, roadmap, and organizational goals • Serve as an analytics SME in collaboration with cross-functional teams, including Product, Finance, Partner Success, and Operations • Be comfortable adapting to different databases and technology platforms, with a strong desire to continuously learn new skills