Dialpad
AI-native business communications
AnalyticsEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Analytics Engineer at Dialpad. Skills: Data analytics, SQL, Machine learning, BI tools. Build datasets for AI engineers. Deliver analyses for AI products”
What You'll Achieve.
Deliver effective insights; Enable AI engineers to develop internal AI products; Inform strategic decision-making; Enhance product experiences; Forecast business outcomes; Support growth initiatives; Enable self-service analytics; Support Data Engineering team; Improve data quality; Improve data accessibility; Improve data usability; Deliver actionable insights to leadership; Establish best practices; Improve data processes; Improve data utilization; Drive efficiency gains; Drive cost optimization
Industry & Context.
Analytical and problem-solving skills
What They're Looking For.
Must Have
5+ years of advanced data analytics experience, Advanced SQL development skills, Bachelor's degree in a technical or business field, Experience building and training machine learning models, Experience working in a Saas based technology company, Proficiency in Python for data exploration and analysis, Hands-on experience with Agile Software Development methodologies, Working experience in cloud-based data platforms
Nice to Have
Experience building effective visualizations and dashboard automations in an advanced BI tool like Tableau, Familiarity with data modeling best practices, Experience working with tools such as dbt
What You'll Do.
Build datasets for AI engineers
Deliver analyses for AI products
Analyze data from multiple sources
Generate insights for decision-making
Perform exploratory data analysis
Develop predictive machine learning models
Design automated dashboards
Maintain automated dashboards
Define data model requirements
Document business logic
Improve data accessibility
Improve data usability
Monitor business performance
Deliver actionable insights
Establish best practices
Improve data processes
Improve data utilization
Identify process improvement opportunities
Drive efficiency gains
Drive cost optimization
How You'll Work.
Team & Collaboration
Collaborate with business stakeholders; Collaborate with AI Transformation team; Collaborate with data analysts; Partner with cross-functional teams; Collaborate with Data Engineers; Collaborate with Business Analysts; Collaborate with Team Leads; Work with offshore teams; Work with analysts and engineers across organization
Full Job Description
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 Fin
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