About the role

Analytics Engineer leveraging data to enhance business operations at Tailscale. Collaborating with diverse teams to deliver scalable data solutions.

Responsibilities

Partner with teams across Finance, Engineering, Sales, Product, Marketing, and Customer Success to uncover their workflows, challenges, and data needs.
Design, build, and maintain scalable dbt models and data pipelines supporting financial reporting (ARR, billing, revenue recognition) as well as operational, product, and GTM analytics.
Tackle ambiguous, high-complexity problems, untangling systems, manual processes, and unclear logic to produce clear, durable data solutions.
Translate user challenges and incomplete requirements into structured data models, automated workflows, and end-to-end solutions.
While building towards automation, understanding the user needs to process manual tasks.
Own solutions from ingestion to transformation to data quality, documentation, and stakeholder enablement.
Connect data and logic across domains, identifying how systems relate and surfacing opportunities to simplify, standardize, or automate.
Advocate for high standards in data quality, clarity, documentation, and maintainability.

You have delivered production data models and pipelines that power real business decisions.
You operate autonomously and make thoughtful tradeoffs in a fast-paced environment.
You’re skilled in SQL and modern data modeling, and you write clean, maintainable, well-organized code.
A track record of converting manual, ad hoc workflows into automated, durable pipelines or self-service solutions.
You can take a vague problem, ask the right questions, and turn it into a clear technical plan and high-quality solution.
You work well with both technical and non-technical partners, helping teams clarify their needs, understand tradeoffs, and driving alignment.
You’re a generalist who enjoys learning new domains and solving a wide range of challenges from Finance to Product to GTM.
You are curious, resourceful, and comfortable challenging assumptions thoughtfully and advocating for approaches that improve scalability and data quality.
You enjoy untangling complexity and turning chaos into clarity.
You care about building simple, transparent, robust data foundations.
You think in terms of systems and scalability, not one-off fixes, and are able to weigh in trade-offs and build systems to solve problems as needed.
You’re motivated by helping teams work more effectively through data.
You’re team-oriented, collaborative, and communicate with clarity.
You’re excited to grow your impact and take on increasing ownership as the team expands.