Analytics Engineer, Data

# Analytics Engineer, Data United States1 hour agoID 4918789

Price on request## Details

Employment type:

Full-time Remote:
Yes Company:
Tailscale## Description About Tailscale    Tailscale is building the new Internet by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists and start-ups to medium and large companies, teams around the world use Tailscale to solve problems in hardware and software security within their organization, remote access to internal services, and most recently work from anywhere solutions covering integration and access to external and internal resources.
Tailscale values curiosity, continuous learning, transparency, and respect in our community. We are forever building towards our vision of a safe, efficient, and flexible network that accelerates our people and our customers.
About the role    Tailscale is looking for a detail-oriented and motivated Analytics Engineer to join our growing Data Team. You will help us improve data quality across the board, contribute to faster data delivery, and help teams across Tailscale answer their own questions. You will work across data ingestion, transformation, storage, analysis, visualization, and self-serve data exposure.
This role focuses on collaborating with business stakeholders, especially within Go-To-Market, Product and Engineering, to help them understand their data. It calls for proactive engagement, ownership of data outcomes, and a commitment to enabling data self-service for teams across Tailscale. Because we are an early-stage and fully remote company, we are looking for a self-starter who can work autonomously to plan and own their work.
Key responsibilities    
• Partner with the Data Team and stakeholders across the company to understand the data questions they need answered and propose suitable data solutions.

• Build and maintain self-serve data models and dashboards in Looker and Big Query that surface trustworthy, timely data.

• Partner with cross-functional stakeholders to define, document, and standardize key business metrics.

• Improve data quality, testing, and automation so reporting is accurate, timely, and reproducible.

• Identify repetitive data requests and convert them into reusable datasets, dashboards, or automations.

• Support data governance: documentation, metric definitions, and best practices for how teams use data.

• Help maintain and evolve our data stack and workflows, including dbt, Fivetran, Big Query, Looker, Hex or related tools.

• Troubleshoot data discrepancies in partnership with the Data Platform team and build confidence in the underlying data.

• Create a culture of self-service by enabling others to use data tools and understand the data.
Ideally, you have    
• Experience as an analytics engineer, data analyst, business intelligence engineer, or in a similar role building analytics in a modern data stack.

• Strong SQL skills and experience with data modeling concepts such as star schemas, dimensional modeling, and semantic or metrics layers.

• Experience with dbt and data transformation workflows.

• Experience creating dashboards and explores with business intelligence tools including Looker and its semantic layer, or Tableau or Power BI.

• Experience with data warehouses or lakes including Big Query, Snowflake or Redshift.

• Comfort working with business stakeholders to gather requirements and translate them into data products.

• A detail-oriented mindset: you care about data quality, tests, and documentation.

• Clear communication skills and a desire to enable others through self-service data.
What we offer    
• An inclusive and flexible environment, and a competitive total compensation package including base…