Analytics Engineer, Data

Tailscale Tailscale · Enterprise · Remote · Data

Analytics Engineer at Tailscale, focusing on building and maintaining data models and pipelines for financial, operational, product, and GTM analytics. The role involves partnering with various teams to understand data needs, transforming complex user problems into scalable data solutions, and ensuring data quality and documentation.

What you'd actually do

  1. Partner with teams across Finance, Engineering, Sales, Product, Marketing, and Customer Success to uncover their workflows, challenges, and data needs.
  2. 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.
  3. Tackle ambiguous, high-complexity problems, untangling systems, manual processes, and unclear logic to produce clear, durable data solutions.
  4. Translate user challenges and incomplete requirements into structured data models, automated workflows, and end-to-end solutions.
  5. Own solutions from ingestion to transformation to data quality, documentation, and stakeholder enablement.

Skills

Required

  • SQL
  • Modern data modeling
  • dbt
  • Data pipelines
  • Data quality
  • Documentation
  • Stakeholder enablement
  • Systems thinking
  • Scalability

Nice to have

  • High-growth product-led SaaS company experience
  • Billing systems
  • Revenue recognition
  • GAAP accounting
  • Financial operations
  • Stripe
  • Salesforce
  • Looker
  • Orb
  • Prefect
  • Fivetran
  • Hightouch

What the JD emphasized

  • production grade analytics engineering work
  • delivered production data models and pipelines
  • track record of converting manual, ad hoc workflows into automated, durable pipelines or self-service solutions
  • take a vague problem, ask the right questions, and turn it into a clear technical plan and high-quality solution
  • untangling complexity and turning chaos into clarity
  • systems and scalability