Dialpad is hiring a

Analytics Engineer

Job Overview

  • Posted 3 weeks ago
  • Full Time
  • Vancouver, BC, Canada
  • 97000

Roles & Responsibilities

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.

Skills Required

  • Machine Learning
  • Python

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