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