Revenue Intelligence Analyst

Your role

As a Revenue Intelligence Analyst, you will turn Dialpad’s revenue data into actionable insights, scalable reporting, AI–enabled automation, and decision support for the go‑to‑market organization.

This role sits on the Planning and Governance team and blends data analysis, reporting, understanding of business systems, AI agent automation, and strong business partnership. You will build and maintain dashboards, define and enhance datasets in Big Query, automate recurring reporting, identify opportunities to deploy AI agents and workflow automation, and translate business questions into clear reporting and analytical solutions. You will also serve as a key liaison between business stakeholders and data or systems teams, ensuring that reporting outputs and automation solutions align with business needs.

Your work will help leaders understand pipeline performance, forecast trends, operational health, and broader business performance with greater clarity, speed, and confidence.

This position reports to the Director, Revenue Ops Planning & Governance, and has the opportunity to be based in our Austin or Tempe offices.

• Own executive reporting across the revenue (pre and post‑sales) organization.
• Deliver high‑quality monthly, quarterly, and ad hoc reporting for senior leadership.
• Synthesize complex data into clear business narratives and recommendations.
• Create holistic reporting views that connect performance across teams, segments, and motions.
• Ensure leaders have timely, accurate, and decision‑ready insights.
• Act as a liaison between business stakeholders and data, systems, and business operations teams.
• Gather business requirements and translate them into reporting, dashboard, and dataset needs.
• Define new datasets and enhance existing datasets in Big Query to support evolving business questions.
• Partner with technical teams to improve data availability, usability, and reporting readiness.
• Help ensure reporting solutions align with business processes and system design.
• Design and build executive‑ready dashboards in Tableau.
• Develop intuitive visualizations for pipeline, forecast, productivity, retention, and expansion.
• Translate business questions into scalable dashboard solutions.
• Create reusable Tableau data sources and reporting assets.
• Analyze revenue performance trends and deliver actionable insights to business stakeholders.
• Build automated reporting that reduces manual spreadsheet work and improves reporting speed and consistency.
• Support ad hoc, cross‑functional analysis across pipeline, bookings, forecast, productivity, and customer metrics.
• Identify reporting gaps and recommend new metrics, views, or process improvements.
• Partner on root‑cause analysis to explain performance changes and business trends.
• Design and deploy AI agents and workflow automations that streamline recurring reporting, data QA, and stakeholder request intake across Rev Ops workflows.
• Evaluate high‑impact opportunities to apply AI across reporting and analysis processes, partnering with systems and data teams to operationalize solutions and measure adoption, accuracy, and efficiency gains.
• Analyze sales processes for inefficiencies and implement AI agents to standardize and automate workflows.

• 2+ years of experience in analytics, business intelligence, revenue operations, or business systems analysis.
• Experience building AI agents using Claude, Glean, ChatGPT, Gemini for process standardization, simplification, and automation.
• Experience building dashboards and reports in Tableau.
• Working knowledge of Salesforce data and reporting concepts.
• Experience supporting Sales, Rev Ops, or SaaS go‑to‑market teams.
• Strong analytical thinking and comfort working with large datasets.
• Experience gathering business requirements and translating them into reporting solutions.
• Strong communication skills across technical and non‑technical audiences.
• Ability to simplify complex data into clear, executive‑ready insights.
• High attention to detail and strong ownership mindset.
• Bias toward automation and scalable reporting solutions.

• Bachelor’s degree in Business, Finance, Economics, Data Analytics,…