About the team
Our Data Analysis team works alongside the Data Annotation team to support the Ai teams, working on projects on cutting-edge Automatic Speech Recognition(ASR), Natural Language Processing (NLP) and Computer Vision (CV). We take care of the complex business and product logic as well as making sure the data follows our security and privacy standards letting our applied scientists focus on model development. We help NLP team to launch and enhance DialpadGPT, our in-house LM specifically designed for the domain of business communication. We work closely with Product team to help them understand how user interact with our Ai product using data analysis. We also build data pipelines and infrastructure and adopt software engineering best practices. We are a group of engineers who enjoy writing reports to tell the stories behind the data, which often spin up new data science ideas and help businesses make better decisions.
Your role
As an Analytics Engineer, you’ll be an integral part of our data analysis team, supporting ASR and NLP team for their data needs. You’ll be involved in various stages of data science development, from data sampling and annotation, results evaluation to feedback analysis post product launch. In addition, you’ll help bring insights to product development with user behavior data.
This position reports to the manager of the data analysis team and has the opportunity to be based in our Vancouver Office.
What you’ll do
Translate complex data requirements into clear data sampling plans with efficient SQL queries
Create and maintain dashboards and data pipelines that helps drive product and business decisions
Contribute to our continuous efforts to enforce data privacy and compliance
Answering daily questions from Ai team about data
Collaborate with cross-functional teams, including Ai, engineering and product team
Conduct in-depth data analysis that leads to new data science opportunities and business insights
Skills you’ll bring
Bachelor's or Master’s degree in Computer Science, Machine Learning, Statistics or related fields.
2 years of working experience with data science or data analytics project
Excellent data analysis skills from writing and optimizing SQL queries to data visualization and report writing
Strong foundation in statistics
Familiarity with analyzing user behaviour data (e.g, Amplitude) would be a plus
Familiarity with Python and public cloud environments such as GCP, AWS, etc
Strong problem-solving and analytical abilities, with the capacity to handle complex technical and analytical problems.
Excellent communication and collaboration skills to effectively work in a multi-disciplinary team.
Familiarity with version control tools like Git for collaborative projects.
Dialpad benefits and perks
Benefits, time-off, and wellness
An apple a day keeps the doctor away—and it doesn’t hurt that we offer flexible time off and great options for medical, dental, and vision plans for all employees. Along with that, employees also receive a monthly stipend to help cover your cell phone bill, home internet bill, and we reimburse for gym membership costs, a variety of wellness events, and more!
Professional development
Dialpad offers reimbursement for expenses related to professional development, up to an annual limit per calendar year.
