Analytics Engineer

Responsibilities

• Design, build, and maintain scalable data models and views in Looker/Observable that serve both customer-facing and internal analytics.
• Partner with engineering to design and ship polished customer-facing data views for enterprise builders.
• Work with Product and Customer Success to define the metrics they need to make decisions, then build the reporting behind them.
• Set direction for our analytics stack and decide where each piece of reporting should live.
• Own decisions about data infrastructure and instrumentation, including how data flows between systems like BigQuery and S3, and where product analytics tracking such as PostHog needs to change.
• Use data modeling, statistics, and analytical techniques to identify trends, patterns, and anomalies across large datasets.
• Build a triage process for incoming analytics requests across the org so priorities are clear and the queue doesn't run you.
• Serve as the clear, trusted owner of "what the data says".

Requirements

• 6+ years in analytics, data science, or business intelligence, owning work end-to-end from modeling through presentation.
• Proven expertise writing and optimizing SQL in a business context, with strong data modeling fundamentals.
• Hands-on experience with a BI/visualization tool such as Looker or Observable.
• Experience with data warehouses and pipelines (BigQuery, S3, or equivalent) and product analytics tools (PostHog or similar).
• A track record building both internal and customer-facing dashboards and reporting.
• Strong ability to manage fast-paced, ambiguous projects with a high degree of organization and independence.
• Sharp judgment about what data belongs in front of which audience.

Nice-to-Haves

• Experience delivering analytics to large enterprise customers with their own reporting requirements.
• Background in construction tech, homebuilding, or another complex physical-world domain.