Analytics Engineer

Vancouver, Canada

Dialpad

Dialpad Ai is built to foster collaboration, boost sales, and provide better customer experiences. Connect your team in one AI-powered app. Try it for free!

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About Dialpad

Work Beautifully

Dialpad is the leading Ai-Powered Customer Intelligence Platform that is transforming how the world works together. Based on 4 billion minutes of analyzed voice and meetings data and growing, we have designed one, beautiful workspace that seamlessly combines the most advanced Ai Contact Center, Ai Sales, Ai Voice, and Ai Meetings with Ai Messaging. More than 30,000 innovative brands and millions of people use Dialpad to unlock productivity, collaboration, and customer satisfaction with real-time Ai insights. With initial funding and leadership from Google and leading venture capitalists such as ICONIQ and Andreessen Horowitz, Dialpad has over $200M in ARR and is one of the fastest growing Ai companies in the world.

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 Buenos Aires 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.

Don’t meet every single requirement? Studies have shown that women and marginalized groups are less likely to apply to jobs unless they meet every single qualification. At Dialpad we are dedicated to building an inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Amplitude ASR AWS Computer Science Computer Vision Data analysis Data Analytics Data pipelines Data visualization Engineering GCP Git Machine Learning ML models NLP Pipelines Privacy Python Security SQL Statistics

Perks/benefits: Career development Cell phone stipend Competitive pay Equity Fitness / gym Flex hours Flex vacation Gear Health care Home office stipend Team events Wellness

Region: North America
Country: Canada
Job stats:  11  6  0

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