RevOps Data Analyst
Posted Updated
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
- 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
- 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
- Education: Bachelor’s degree in Data Science, Business Analytics, Finance, Statistics, or a related field
- 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)
- Hands-on experience with modern forecasting and revenue analytics tools (e.g., Clari, Databricks)