Senior Data Analyst
Engineering | Vancouver, Canada | Full Time
Dialpad's product suite covers the full range of modern business communications needs with Dialpad Talk, Support, Sell, and UberConference. All products are powered by VoiceAI, Dialpad's proprietary technology that helps companies unlock conversation insights, improve productivity and drive better performance across teams.
Who we are:
At Dialpad, we're a team of doers. A team that thinks outside the box and when that doesn't work, we reinvent it. We don't settle for the status quo, and neither do the things we build. Led by the same minds behind Google Voice, we create products that get businesses talking—whether it's across the hall, street, or country.
With $120 million in funding from ICONIQ Capital, Google Ventures, Andreessen Horowitz, Scale Ventures and other top VC’s, Dialpad attracts top talent from iconic companies like Microsoft and Google as well as powerhouse startups like Hootsuite, Weebly, and Anaplan. Every member of our team plays an essential role in creating dynamic products that don’t just combine design and mobility but works with you wherever productivity may strike.
About the Role:
The machine learning team is responsible for building all of the models used to deliver our Voice Intelligence AI technology. We are looking for a Data Analyst who will support our Data Science, Speech Recognition and Data Engineering teams to help deliver new NLP features and improvements. The ideal person has excellent critical thinking skills, attention to detail, can handle large data sets, and can work in the gap between business stakeholders and speech/language scientists..
The data analyst will work closely with the Speech and Natural Language Processing teams to do insightful analysis across huge collections of conversations that have been previously analysed using state-of-the-art computational linguistics to answer questions like:
- what kinds of questions distinguish effective, senior sales people from junior sales people?
- what are the customer issues bubbling under the surface -- the things we should flag to product engineering?
- can we tell which customers are genuinely interested?
- what rate of speaking is too fast?
- which buzzwords leave customers confused?
The work is a mix of database administration, data analysis, and business intelligence. Ideally, you have experience manipulating large data sets, have some knowledge of machine learning practices and data requirements and are comfortable operating in an agile environment. If you're inspired by innovation and you like working with a smart, talented, generally awesome team, we'd love to hear from you!
Ability and desire to deeply understand our users’ point of view
Ability to work with scientists, linguists and engineers to take interesting questions and turn them into interesting stories told with data
Given a use-case be able to recommend and source the required data independently
Start with an ad hoc proof-of-concept (what does the data tell us about this question?) then turn it into a process that we can run on a regular basis
3+ years of experience as a data analyst or similar quantitative role.
Excellent communicator and listener
Excellent organizational, analytical, and research skills
Flexible with regards to changing priorities & business needs
Proficient in SQL
Bonus points for:
Experience with Python (or other scripting language) and Google Data Studio is a plus
Expertise or experience in Linguistics, Natural Language Processing or Speech Recognition
Experience with B2B sales and support scenarios
Joining our team means collaborating with people that aren’t just passionate about their work but about Argentine tango, musicals, sushi burritos, comic books - you name it. Because if you’re going to redefine the status quo, you need a group of people hungry to do more, to see more, and be more than where they started.
There is no idea too crazy and no task too small — we work together to make things we’re proud of.
Compensation & Equity
Teamwork makes the dream work. We recognize that our dedicated team members are what make our success. That’s why we offer competitive salaries in addition to stock options.
An apple a day keeps the doctor away - and it doesn’t hurt that we offer 100% paid medical, dental, and vision plans for you and your dependents.
We offer a monthly stipend to help cover your cell phone, home internet, and even gym membership costs.
We believe in your future as much as you do! That's why we offer a yearly stipend for continued learning and education expenses.
Bon Appetit! Enjoy catered lunches, free snacks & drinks (both healthy and unhealthy - no judgment!)
Location, Location, Location
San Francisco <> San Ramon <> Austin <> Raleigh <> Vancouver <> Kitchener <> Tokyo <> New York <> Bangalore. From coast to coast, our offices are nestled in active and growing downtown areas
Dialpad is an equal opportunity employer; we believe in creating a community of inclusion and an environment free from discrimination or harassment.