WHAT YOU'LL DO
You own the data itself: the analytics models, the metric definitions, and the views built in tools like Looker and Observable. You decide what belongs in front of which audience, and you direct the work our infrastructure and engineering teams need to do to get the right data into the system in the first place.
You'll turn current workflows into a coherent plan, then build against it.
Expect to:
- 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"
ABOUT YOU
You know what data matters to builders versus internal stakeholders, not just how to report it. You're comfortable walking into a messy, competing set of requests and turning it into a plan without being handed one. You earn buy-in from infra, integration, and frontend teams you don't manage, and you're fine directing engineering priorities without owning the build yourself.
You treat the org's data needs as your responsibility rather than a ticket queue.
You can translate cleanly in both directions: explaining a model to an engineer and explaining an insight to someone who will never open a SQL editor.
You have:
- 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
A major plus if you also bring: