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Analytics Engineer III

Calendly LogoCalendly
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Salary

Base Pay Range National - Salary: $99,280 - $134,320 USD

About the team & opportunity

What’s so great about working on Calendly’s Engineering team? We make things possible for our customers through innovation.

Why do we need you? Well, we are looking for an Analytics Engineer to join our fast-growing organization who will bring experience developing data models built for the present and the future, a keen eye for reliability and performance, and is a team player.

A day in the life of an Analytics Engineer at Calendly

This role will reside on the Analytics Engineering (AE) team with a focus on building robust and scalable analytical insights. These models, built on Google's BigQuery, will be leveraging dbt and follow engineering best practices. The role is part of a team that ensures the organization has access to timely, accurate, relevant, and proactively persuasive insights to efficiently grow the business.

In this role, you will develop and maintain the enterprise data models used to support and drive the growth of Calendly. You will be an influential member of the AE team to help deliver high-quality data assets that enable data-driven decisions while ensuring data accuracy and consistency. You should have a drive for supporting the business, asking the right questions, and delivering an analytics layer that will push Calendly forward - all while helping shape the team.

On a typical day, you will be working on:

  • Creating tremendous business value from the various data sources within our data warehouse
  • Developing to the analytics layer in the data warehouse
  • Working closely with business leaders and analysts to understand their needs and deliver sustainable data assets used to power visualizations and insights
  • Managing performance and accuracy of data transformations to build and maintain trust in our data
  • Identifying opportunities for data model consolidation and/or optimization
  • Contributing technically and culturally to the growing AE team

What do we need from you?

  • Strong analytical SQL skills with a keen eye for detail and data accuracy - experience with another analytical language is a bonus (e.g. R or Python)
  • Experience developing and scaling a dbt project while leveraging engineering best practices (e.g. data quality tests, unit tests, etc)
  • Experience using version control systems like GitHub to maintain a codebase and provide feedback through code reviews
  • Experience with data modeling to serve business stakeholders’ needs
  • Strong ability to diagnose data issues quickly, and build tooling to ensure trust in the data
  • Ability to influence and support analysts in their usage of the data models produced
  • Strong stakeholder management and communication skills
  • Authorized to work lawfully in the United States of America as Calendly does not engage in immigration sponsorship at this time

Our Hiring Process:

Applicants for this role can expect to follow the hiring process listed below. Please keep in mind that applicants can be declined from the position at any stage of the process.

  • Qualified candidates will be invited to schedule a phone interview with a member of our recruiting team. This is a great time to ask any initial questions you have about the company or the role.
  • Next, we’ll put you in direct contact with your potential future manager. You’ll get a chance to learn even more about life at Calendly, the responsibilities attached to your role, and the qualities needed to succeed here.
  • Then, we will send a take home test where you can highlight your skills.
  • Next, or in parallel, you’ll meet with your potential future team members.
  • Finally, we reach out to those you’ve worked with before, to learn more about the impact you can make, the value you bring, and the best way to set you up for success at Calendly.

We aim to provide an inclusive and equitable candidate experience to everyone who expresses interest in working at Calendly. The recruiter assigned to this role will keep you informed every step of the way. Have questions? Let your recruiter know! Want to share your experience? We are passionately committed to improving and building on our process, and we consider feedback a gift.

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