Analytics Engineer • Mid-Level

Who you are

You have a strong background in data analysis and engineering, with experience in SQL and Python — you've worked on projects that leverage data to drive business insights and optimize processes. Your understanding of natural language processing (NLP) and automatic speech recognition (ASR) allows you to contribute effectively to AI-driven initiatives. You are curious and persistent, always seeking to improve your skills and the systems you work with.

You thrive in collaborative environments and enjoy working with cross-functional teams — your ability to communicate complex data findings in an understandable way helps bridge the gap between technical and non-technical stakeholders. You are not just focused on meeting requirements; you aim to exceed expectations and contribute to the overall success of your team.

What you'll do

As an Analytics Engineer at Dialpad, you will play a crucial role in supporting the data analysis and quality assurance teams — your primary focus will be on leveraging data to optimize conversational flows and enhance the underlying data infrastructure for our AI solutions. You will analyze large datasets to identify trends and insights that can drive improvements in our voice and chat solutions.

You will collaborate closely with the ASR and NLP teams, providing data support that informs their initiatives — your insights will help shape the development of our AI-powered customer communications platform. You will also be responsible for ensuring data quality and integrity, implementing best practices for data management and analysis.

What we offer

At Dialpad, we foster a culture of continuous learning and evolution — you will have opportunities to grow your skills and advance your career in a supportive environment. We believe in the power of every conversation and are committed to making our customers and employees successful. Join us in transforming how businesses communicate with their customers through innovative AI solutions.