Revenue Intelligence Analyst at Dialpad

Austin, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

31 May, 26

Salary

0.0

Posted On

02 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Tableau Development, Tableau Desktop, Tableau Server, Tableau Cloud, SQL, Data Modeling, Salesforce, Data Warehouses, SaaS Metrics, Forecasting, Pipeline Analysis, Data Visualization, Data Governance, Performance Optimization, Automation, Data Engineering Partnership

Industry

Software Development

Description

About Dialpad Dialpad is the leading AI-powered customer communications platform, transforming how businesses communicate with their customers. More than 50,000 companies around the globe — including Netflix, RE/MAX, Uber, Randstad, and Tractor Supply — rely on Dialpad to build stronger customer connections using real-time, AI-driven insights. Visit dialpad.com to learn more. Being a Dialer At Dialpad, you’ll be part of a collaborative team working toward our shared mission of making our customers and their employees wildly successful. We believe that every conversation matters, and we're elevating each one with a platform that drives real-time insights and automation for our customers. We thrive on continuous evolution, where every employee leverages industry-leading AI to constantly refine our platform and our own skills. We seek individuals who not only meet our high standards but go beyond them. Our ambition is significant, and achieving it requires a team that operates at the highest level. We look for individuals who are not just ambitious but who also possess the traits that are fundamental to our success: Scrappy, Curious, Optimistic, Persistent, and Empathetic. Your role As a Revenue Intelligence Analyst, you’ll design, build, and maintain scalable revenue dashboards that power execution discipline and forecast confidence across Dialpad’s global revenue organization. This role goes beyond reporting. You will build the analytical foundation for pipeline execution effectiveness, forecast performance, and RevOps OKR tracking — ensuring our revenue engine operates with clarity and accountability. This position reports to our Director, Revenue Ops Systems & Tools, and has the opportunity to be based in our Austin or Tempe offices. What you’ll do Stage-by-stage conversion rates (by segment and motion). Pipeline velocity and time-in-stage analysis. Slippage analysis (commit vs. close behavior). Pipeline coverage ratios (pipeline-to-quota benchmarks). Deal size progression and expansion attach rates. SE-involved vs. non-SE win-rate impact. Forecast accuracy trends (commit vs. actual variance). Opportunity aging and risk scoring indicators. Building and maintaining dashboards that track RevOps OKRs across: Forecast accuracy Conversion improvement GRR / NRR targets Pipeline coverage Adoption of operational standards Automating OKR performance reporting. Ensuring metric definitions are consistent and documented. Providing monthly and quarterly OKR visibility to RevOps leadership. Identifying early deviation signals against OKR targets. 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 certified dashboards. Partner with data engineering and systems teams to ensure clean data pipelines. Validate metric definitions and ensure consistency across segments. Maintain documentation for revenue metric logic. Improve reporting governance and eliminate conflicting definitions. Optimize Tableau workbooks for performance and usability. Reduce manual reporting and spreadsheet dependency. Build scalable dashboard frameworks that grow with the business. Maintain Tableau Server / Cloud content governance best practices. Skills you’ll bring 4–7+ years of Tableau development experience. Advanced Tableau Desktop and Tableau Server / Cloud proficiency. Strong SQL skills (joins, aggregations, window functions). Experience supporting Sales, RevOps, or SaaS revenue teams. Deep understanding of dashboard performance optimization. Advanced data modeling in Tableau. Strong SQL proficiency. Familiarity with Salesforce data structures (opportunities, pipeline stages, ARR tracking). Experience working with data warehouses (Snowflake, Redshift, BigQuery, etc.). Strong understanding of SaaS revenue metrics: ARR / MRR Pipeline coverage Conversion rates GRR / NRR Forecast variance Preferred Qualifications Experience supporting multi-segment SaaS organizations. Familiarity with CS platforms (Planhat, Gainsight). Exposure to pipeline and forecast analytics. Experience building executive-level dashboards. Strong analytical rigor and attention to detail. Ability to simplify complex data into clear visual narratives. Proactive, structured problem solver. Clear communicator across technical and non-technical audiences. High ownership mentality and bias toward automation. We believe in investing in our people. Dialpad offers competitive benefits and perks, alongside a robust training program that helps you reach your full potential. We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection. Our exceptional culture, recognized repeatedly as a certified Great Place to Work, ensures every employee feels valued and empowered to contribute to our collective success. Don’t meet every single requirement? If you’re excited about this role and you possess the fundamental traits, the drive, and strong ambition we seek, but your experience doesn’t satisfy every qualification, we encourage you to apply. Dialpad is an equal-opportunity employer. We are dedicated to creating an inclusive environment, free of discrimination and harassment.

Responsibilities

The analyst will design, build, and maintain scalable revenue dashboards to drive execution discipline and forecast confidence across the global revenue organization. This involves building the analytical foundation for pipeline effectiveness, forecast performance, and RevOps OKR tracking to ensure accountability in the revenue engine.