Data Analyst

Confirmed live in the last 24 hours

Locations

Canada • Remote • United States

Experience Level

Entry

Junior

Mid

Senior

Expert

Requirements

2-3 years of relevant full-time work experience in a quantitative role across analytics, data science, product or consulting
A first principles approach to solving complicated problems. You enjoy breaking down systems and finding root causes of issues
Communication as a core strength. You can present actionable data-driven insights to any audience in a grokable format
A solid analytical foundation. You can use SQL to query large datasets, have experience with A/B testing, and have strong analytical rigor
A strong business intuition. You contextualize how insights fit into broader business goals and have a strong understanding of business metrics like acquisition, retention, engagement and monetization
A belief that small empowered teams can do big things
Insatiable curiosity as a key characteristic. You're an incredibly fast learner and are able to deeply understand new topics and pick up new skills in a very short time
Experience with alternatives to google analytics for marketing insights
Experience in developer tools markets
Experience in a product-led go-to-market motion
A well thought out position on what statistical methods to use in which scenarios
Experience with measuring incrementalit

Responsibilities

Breaking down complex problems to uncover actionable insights
Analyzing marketing data to identify trends, opportunities, and areas for improvement
Communicating and evangelizing data-driven insights to drive go-to-market strategy
Ensure that our data is trustworthy, reliable, and easy to access
Build cross-functional relationships with marketers, designers, engineers, and ops to ensure teams are using data thoughtfully and correctly
Contribute to our team and company data culture through peer collaboration, training, coaching and more

We are looking for a Data Analyst to partner with our Marketing, Sales, Product and Operations teams, helping Tailscale make data-driven business decisions. In this role, you’ll leverage your well-honed analytical skills, first principles problem solving, and business intuition across a variety of high-impact projects. You’ll embed directly in marketing initiatives using data to help shape the future of our go-to-market strategy.

Your key responsibilities will include:

Breaking down complex problems to uncover actionable insights
Analyzing marketing data to identify trends, opportunities, and areas for improvement
Communicating and evangelizing data-driven insights to drive go-to-market strategy
Ensure that our data is trustworthy, reliable, and easy to access
Build cross-functional relationships with marketers, designers, engineers, and ops to ensure teams are using data thoughtfully and correctly
Contribute to our team and company data culture through peer collaboration, training, coaching and more

Ideally, you have:

2-3 years of relevant full-time work experience in a quantitative role across analytics, data science, product or consulting.
A first principles approach to solving complicated problems. You enjoy breaking down systems and finding root causes of issues.
Communication as a core strength. You can present actionable data-driven insights to any audience in a grokable format.
A solid analytical foundation. You can use SQL to query large datasets, have experience with A/B testing, and have strong analytical rigor.
A strong business intuition. You contextualize how insights fit into broader business goals and have a strong understanding of business metrics like acquisition, retention, engagement and monetization.
A belief that small empowered teams can do big things.
Insatiable curiosity as a key characteristic. You’re an incredibly fast learner and are able to deeply understand new topics and pick up new skills in a very short time.

It’s nice if you have:

Experience with alternatives to google analytics for marketing insights
Experience in developer tools markets
Experience in a product-led go-to-market motion
A well thought out position on what statistical methods to use in which scenarios
Experience with measuring incrementalit

Please keep reading...

Research shows that candidates from underrepresented backgrounds often don’t apply for roles if they don’t meet all the criteria — unlike majority candidates meeting significantly fewer requirements.

We strongly encourage you to apply if you’re interested: we’d love to know how you can amplify our team with your unique experience!

About Tailscale

Tailscale builds software that makes it easy to connect and secure devices, no matter where they are. Every day, banks and multi-national companies use Tailscale to protect their corporate networks. Hobbyists and start-ups trust Tailscale to collaborate and share access to tooling. We’re building a future for the Internet that’s easy, small and safe, like it used to be. Founded in 2019 and fully distributed, we’re backed by Accel, HeavyBit, and Uncork Capital.

11-50 employees

Website

Enterprise secure VPN company

Company Overview

Tailscale is on a mission to help everyone create their own secure networks built around their social connections. Tailscale is working to remove overhead and complexity from the “long tail” of software and operational problems that people face every day.

Company Core Values

Real people solving concrete problems
Small is beautiful
It has to "just work"

Your key responsibilities will include:

Breaking down complex problems to uncover actionable insights

Analyzing marketing data to identify trends, opportunities, and areas for improvement

Communicating and evangelizing data-driven insights to drive go-to-market strategy

Ensure that our data is trustworthy, reliable, and easy to access

Build cross-functional relationships with marketers, designers, engineers, and ops to ensure teams are using data thoughtfully and correctly

Contribute to our team and company data culture through peer collaboration, training, coaching and more

Ideally, you have:

2-3 years of relevant full-time work experience in a quantitative role across analytics, data science, product or consulting.

A first principles approach to solving complicated problems. You enjoy breaking down systems and finding root causes of issues.

Communication as a core strength. You can present actionable data-driven insights to any audience in a grokable format.

A solid analytical foundation. You can use SQL to query large datasets, have experience with A/B testing, and have strong analytical rigor.

A strong business intuition. You contextualize how insights fit into broader business goals and have a strong understanding of business metrics like acquisition, retention, engagement and monetization.

A belief that small empowered teams can do big things.

Insatiable curiosity as a key characteristic. You’re an incredibly fast learner and are able to deeply understand new topics and pick up new skills in a very short time.

It’s nice if you have:

Experience with alternatives to google analytics for marketing insights

Experience in developer tools markets

Experience in a product-led go-to-market motion

A well thought out position on what statistical methods to use in which scenarios

Experience with measuring incrementalit