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Dialpad

Analytics Engineer

Reposted 13 Days Ago
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In-Office
Vancouver, BC, CAN
Mid level
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In-Office
Vancouver, BC, CAN
Mid level
The Analytics Engineer will support data analysis and optimization of conversational AI systems, automate processes, and maintain data pipelines and dashboards.
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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 an analytics engineer, you’ll be an integral part of our data analysis and QA team, providing essential data support for our cutting-edge Agentic AI initiatives, specifically with ASR and NLP teams. A key focus will be on leveraging data analysis to identify and drive optimization of the conversational flows and underlying data infrastructure for agentic voice and chat solutions. You will actively seek opportunities to improve the team’s productivity and workflow through automation and process optimization, including implementing automated QA for our agentic systems.

This position reports to the manager of the Data Analysis and QA team and has the opportunity to be based in our Vancouver, Canada Office.

What you’ll do 

  • You will work closely with other Agentic AI teams to test and evaluate our Agentic voice and chat solutions.
  • You will design and implement data logging and monitoring strategies to capture key analytical insights.
  • You will utilize data analysis to identify areas for optimization in the voice bot's conversational flows and data pipeline.
  • You will build and maintain data pipelines on Vertex AI pipelines. 
  • You will work closely with the AI Platform team to build tooling for data science projects. 
  • You will implement automation and processes to improve our workflow. 
  • You will create and maintain dashboards (Tableau) and data pipelines (Dataform) that help drive product and business decisions.
  • You will contribute to our continuous efforts to enforce data privacy and compliance. 
  • You will collaborate with cross-functional teams, including AI, engineering, and product teams.

Skills you’ll bring 

  • 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 analyzing the performance of conversational AI systems (e.g., voice bots, chatbots) and collaborating with cross-functional teams (AI, Product) on data-driven improvements.
  • Experience working with popular LLM frameworks.
  • Strong problem-solving and analytical abilities, with the capacity to handle complex technical and analytical problems.

For exceptional talent based in British Columbia, Canada the target base salary range for this position is posted below. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the target range for new hire salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in British Columbia role postings reflect the base salary only, and do not include bonus, equity, or benefits.

British Columbia, Canada Salary Range
$109,500$138,750 CAD

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.

Top Skills

BigQuery
Dataform
GCP
Kubernetes
Python
SQL
Tableau
Vertex Ai

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