Dialpad

5 months ago

Analytics Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Analytics Engineer at a Vancouver-based AI data team focusing on Agentic AI initiatives. You’ll design and maintain data pipelines, logging, and dashboards to optimize voice and chat solutions, collaborate with AI/Platform teams, and implement automation to improve workflows using Vertex AI pipelines and Tableau-driven insights.

Location: Vancouver

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Test and evaluate Agentic voice and chat solutions with other AI teams.
•Design and implement data logging and monitoring strategies to capture key analytical insights.
•Utilize data analysis to identify optimization opportunities in the voice bot’s conversational flows and data pipeline.
•Build and maintain data pipelines on Vertex AI pipelines.
•Create and maintain dashboards (Tableau) and data pipelines (Dataform) to drive product and business decisions.

Pay and Benefits

Salary: CAD 106,300 - 134,350 annually

Key Requirements

•Bachelor's or Master's degree in Computer Science, Software Engineering, or related fields.
•1-3 years of working experience with software engineering or data engineering projects.
•1-3 years of experience with Python, working with GCP, including storage, BigQuery, Compute, Kubernetes, or similar.
•1-3 years of experience with SQL, able to optimize complex SQL queries and build data pipelines.
•Experience with BI tools such as Tableau.

Experience:1-3 yearsAIData engineeringData analytics

Education:Bachelor's

Skills:CommunicationProblem-solvingCollaborationAnalytical thinking

Languages:English

Tech Stack:PythonGCPBigQueryComputeKubernetesSQLTableauVertex AIDataformLLM frameworks

Company Brief

Dialpad

Provides cloud-based business communications platform offering voice, video, messaging, contact center, and AI-driven call intelligence to help teams communicate and collaborate across devices and locations.

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: San Francisco, United States

Founded: 2011

Website LinkedIn

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Dialpad

5 months ago

Analytics Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Vancouver

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Test and evaluate Agentic voice and chat solutions with other AI teams.
•Design and implement data logging and monitoring strategies to capture key analytical insights.
•Utilize data analysis to identify optimization opportunities in the voice bot’s conversational flows and data pipeline.
•Build and maintain data pipelines on Vertex AI pipelines.
•Create and maintain dashboards (Tableau) and data pipelines (Dataform) to drive product and business decisions.

Pay and Benefits

Salary: CAD 106,300 - 134,350 annually

Key Requirements

•Bachelor's or Master's degree in Computer Science, Software Engineering, or related fields.
•1-3 years of working experience with software engineering or data engineering projects.
•1-3 years of experience with Python, working with GCP, including storage, BigQuery, Compute, Kubernetes, or similar.
•1-3 years of experience with SQL, able to optimize complex SQL queries and build data pipelines.
•Experience with BI tools such as Tableau.

Experience:1-3 yearsAIData engineeringData analytics

Education:Bachelor's

Skills:CommunicationProblem-solvingCollaborationAnalytical thinking

Languages:English

Tech Stack:PythonGCPBigQueryComputeKubernetesSQLTableauVertex AIDataformLLM frameworks

Company Brief

Dialpad

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: San Francisco, United States

Founded: 2011

Website LinkedIn