Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and maintain revenue dashboards to enhance execution and forecast confidence.
- Company: Join Dialpad, a leading AI-powered customer communications platform with a vibrant culture.
- Benefits: Competitive perks, robust training, and an inclusive work environment.
- Why this job: Make a real impact by transforming data into actionable insights for global revenue teams.
- Qualifications: 4-7+ years of Tableau experience and strong SQL skills required.
- Other info: Be part of a certified Great Place to Work with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
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 rely on Dialpad to build stronger customer connections using real-time, AI-driven insights.
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 London, UK 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
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.
- 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.
Revenue Intelligence Analyst employer: Dialpad
Contact Detail:
Dialpad Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Revenue Intelligence Analyst
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Dialpad on LinkedIn. Ask them about their experiences and any tips they might have for landing the Revenue Intelligence Analyst role. Personal connections can give you insights that job descriptions just can't.
✨Tip Number 2
Prepare for the interview by diving deep into Dialpad's products and services. Understand how their AI-powered platform works and think about how your skills in Tableau and SQL can contribute to their mission. Show them you're not just another candidate, but someone who genuinely gets what they're all about.
✨Tip Number 3
Practice your storytelling skills! Be ready to share specific examples of how you've used data to drive decisions in past roles. This is your chance to showcase your analytical prowess and how it aligns with Dialpad's focus on real-time insights.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're serious about joining the Dialpad team. Make sure to tailor your application to highlight your experience with SaaS revenue metrics and dashboard development.
We think you need these skills to ace Revenue Intelligence Analyst
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for the role shine through! We want to see how excited you are about becoming a Revenue Intelligence Analyst and how you can contribute to our mission at Dialpad.
Tailor Your Experience: Make sure to highlight your relevant experience with Tableau and SQL in your application. We’re looking for specific examples that demonstrate your skills and how they align with what we do at Dialpad.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on communicating your ideas effectively. Remember, every word counts!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Dialpad
✨Know Your Numbers
As a Revenue Intelligence Analyst, you'll be dealing with metrics and data all day. Brush up on key SaaS revenue metrics like ARR, MRR, and conversion rates. Be ready to discuss how you've used these metrics in past roles to drive decisions or improvements.
✨Showcase Your Tableau Skills
Since this role requires advanced Tableau proficiency, prepare to demonstrate your skills. Bring examples of dashboards you've built, and be ready to explain your design choices and how they impacted business outcomes. If possible, practice explaining complex visualisations in simple terms.
✨Understand the Business Context
Dialpad is all about transforming customer communications. Familiarise yourself with their platform and think about how your role as an analyst can contribute to their mission. Prepare to discuss how you can leverage data to enhance customer connections and improve revenue performance.
✨Emphasise Your Problem-Solving Skills
The job description highlights the need for a proactive, structured problem solver. Think of specific examples where you've tackled complex data challenges or streamlined reporting processes. Be ready to share your thought process and the impact of your solutions.