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Data Analyst

Engineering | Vancouver, Canada | Full Time

Job Description

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 clean, label and curate data sets for development and testing, and support all of the team’s projects and their data needs.

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!

Responsibilities:

  • Clean, label and curate data sets for development and testing

  • Ability and desire to deeply understand our customers’ point of view. Includes participating in customer interviews and learning about sales/support workflows. 

  • Given a use-case be able to recommend and source the required data independently

  • Use internal and external tools to leverage crowdsourcing resources

  • Support all of the machine learning team’s projects and data needs

Requirements:

  • 1+ 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

  • Advanced Excel skills

  • Proficient in SQL

  • Experience with Python (or other scripting language) and Google Data Studio is a plus

  • Experience with NLP and ASR services or linguistics is a plus

  • Experience with B2B sales and support workflows is a plus

About Us: 

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.

Healthcare

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.

Reimbursements

We offer a monthly stipend to help cover your cell phone, home internet, and even gym membership costs.

Education

We believe in your future as much as you do! That's why we offer a yearly stipend for continued learning and education expenses.

Office Meals

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.