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 an Analytics Engineer, you will collaborate with business stakeholders across various departments to effectively leverage big data and provide accurate, actionable insights that address key business questions. This role is based in and reports to the Sr Manager, Analytics Engineering in Argentina. The candidate must be available to work during California overlapping hours (9AM to 5PM PST).
Dialpad's data team acts as a centralized hub, supporting the analytics and business intelligence needs of all global departments such as Finance, Product, Engineering, Customer Support, Marketing, Legal, HR, and Sales. The team is responsible for data ingestion, ensuring data quality, managing data engineering, and delivering business analytics services, including report automation and descriptive and predictive analytics. Dialpad's data team operates from four global hubs located in the US, Canada, Argentina and India.
What you'll do
- Work closely with the AI Transformation team and data analysts supporting different departments to build datasets and to deliver analyses that enable AI engineers to develop internal AI products and workflows.
- Partner with cross-functional teams to analyze data from multiple sources and generate insights that inform strategic decision-making.
- Perform exploratory data analysis, statistical modeling, and hypothesis testing to uncover trends and opportunities.
- Develop and deploy predictive machine learning models to enhance product experiences, forecast business outcomes, and support growth initiatives.
- Design and maintain a suite of automated, accurate, and reliable dashboards to enable self-service analytics.
- Define data model requirements and document business logic to support the Data Engineering team in creating curated datasets for reporting and analysis.
- Collaborate with internal and external stakeholders to improve data quality, accessibility, and usability.
- Monitor business performance using automated dashboards and ad hoc analysis, delivering actionable insights to leadership.
- Work with analysts and engineers across the organization to establish best practices and improve data processes and utilization.
- Identify and drive opportunities for process improvement, efficiency gains, and cost optimization.
Skills you'll bring
- 5+ years of advanced data analytics experience using big data.
- Experience working directly with business stakeholders or AI Analysts to define requirements, drive analytics, and deliver effective insights.
- Experience collaborating with Data Engineers, Business Analysts, and Team Leads, with a demonstrated track record of successfully working with offshore teams and delivering complex projects on time.
- Advanced SQL development skills for data exploration and analysis.
- Strong analytical and problem-solving skills.
- Experience building effective visualizations and dashboard automations in an advanced BI tool like Tableau (preferred), PowerBI, DOMO or Looker.
- Bachelor's degree in a technical or business field.
- Expertise in product and financial data analysis.
- Experience working in a Saas based technology company.
- Experience in building and training machine learning models for business analysis use cases.
- Familiarity with data modeling best practices and experience working with tools such as dbt.
- Proficiency in Python for data exploration and analysis.
- Hands-on experience with Agile Software Development methodologies and tools like Jira.
- Working experience in cloud-based data platforms like GCP, AWS or Azure.
Why Join Dialpad
- Work at the center of the AI transformation in business communications
- Build and ship agentic AI products that are redefining how companies operate
- Join a team where AI amplifies every employee's impact
- Competitive salary, comprehensive benefits, and real opportunities for growth
We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help 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, repeatedly recognized as a Great Place to Work, ensures that 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 possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn't meet every qualification, we encourage you to apply.
Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.
