Higharc - Analytics Engineer
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 • A major plus if you also bring: • Experience delivering analytics to large enterprise customers with their own reporting requirements • Background in construction tech, homebuilding, or another complex physical-world domain • WORKING AT HIGHARC • Higharc has been remote first since our founding in 2018. We offer flexible hours so you can do your best work without missing out on life. Higharc offers competitive salaries with significant equity, in a fast-growing, well-funded company. • Personal healthiness is an important value for us- we provide comprehensive medical, dental, and vision coverage, with flexible PTO, and meaningful maternity/paternity leave to all U.S based employees that are full-time. You'll also have access to other big-company benefits such like short and long-term disability plans and a 401K. Haven't worked remotely before? We provide a stipend to create the ideal home office. • Please note: we are seeing an uptick of fraudulent recruiting activity claiming to be associated with Higharc. All communication and outreach from our in-house team will come from an @higharc.com email address.
Responsibilities
• 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 • 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"
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