The ad says“Technical Proficiency: Demonstrated experience building sophisticated data models, managing data definitions, and maintaining BI infrastructure”
The ad says“Experience: 3–5 years of relevant professional work experience in data analysis, data science, or revenue operations”
The ad says“Technical Proficiency: Demonstrated experience building sophisticated data models, managing data definitions, and maintaining BI infrastructure”
The ad says“Experience: 3–5 years of relevant professional work experience in data analysis, data science, or revenue operations”
The ad says“Hands-on experience with modern forecasting and revenue analytics tools (e.g., Clari, Databricks)”
The ad says“Hands-on experience with modern forecasting and revenue analytics tools (e.g., Clari, Databricks)”
The ad says“Experience: 3–5 years of relevant professional work experience in data analysis, data science, or revenue operations”
The ad says“Strong SQL skills and experience managing enterprise BI tools (e.g., Tableau, PowerBI, Looker)”
Values
The ad says“Familiarity with leveraging AI technologies and machine learning tools for predictive data analysis”
The ad says“Hands-on experience with modern forecasting and revenue analytics tools (e.g., Clari, Databricks)”
The ad says“Hands-on experience with modern forecasting and revenue analytics tools (e.g., Clari, Databricks)”
The ad says“Strong SQL skills and experience managing enterprise BI tools (e.g., Tableau, PowerBI, Looker)”
The ad says“Familiarity with leveraging AI technologies and machine learning tools for predictive data analysis”
The ad says“Strong SQL skills and experience managing enterprise BI tools (e.g., Tableau, PowerBI, Looker)”
The ad says“Strong SQL skills and experience managing enterprise BI tools (e.g., Tableau, PowerBI, Looker)”
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
Preferred experience
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)
