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
Equity, balance, and belonging
At Dialpad, we strive to ensure that Dialers are free to bring their full selves to work each day, and champion the intersectionality that exists between gender identity, ethnicity, age, disability status, and the many other aspects of our greater humanity.
Culture
We’ve been named a Top Workplace seven times, and a big part of this is because of our collaborative culture that elevates our teammates, celebrates wins, and brings together passion and talent.
Compensation and equity
Teamwork makes the dream work, and Dialpad offers competitive salaries in addition to stock options because each and every Dialer participates in our success.
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, home office equipment, gym membership costs, a variety of wellness events, and more!
Continuing education
Dialpad offers a yearly stipend for continued learning and education expenses.