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 BigQuery 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.
Standardize reporting frameworks across revenue segments.
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 RevOps 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.
Skills you'll bring
2+ years of experience in analytics, business intelligence, revenue operations, or business systems analysis.
Experience building AI agents using Claude, Glean, ChatGPT, Gemini fo
Benefits
Health insurance
Additional Information
About Dialpad
Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time.
More than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights.
We're now leading the shift to Agentic AI: intelligent agents that don't just analyze conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time. Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do.
Visit dialpad.com to learn more.
Being a Dialer
At Dialpad, AI isn't just a feature; it's how our teams do their best work every day. We put powerful AI tools in every employee's hands so they can move faster, think bigger, and achieve more.
We believe every conversation matters. And we've built the platform that turns those conversations into insight and action, for our customers and ourselves.
We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic .
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 BigQuery, 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.