Analytics Engineer

You know what data matters to builders versus internal stakeholders, not just how to report it.

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.

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)

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.

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

Higharc is a VC-backed startup that is changing how new homes are designed and built. Join a founding team who’ve shipped products for Autodesk, Electronic Arts, Nike, and Apple. We have raised over $175M with support from top-notch venture capital firms and more than 18 strategic investors—industry leaders in construction, building products manufacturing, and distribution.

Higharc is seeking an expert Analytics Engineer to own how data is structured, understood, and surfaced across our platform for the builders who use our product

and

for the Product and Customer Success teams who depend on their own internal analytics. This is a net-new role on the Software Engineering team, created because our largest customers are asking harder analytics questions than anyone currently owns.