Analytics Engineer

🕒 July 28

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Higharc

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏗️ Construction

💼 Consulting

🏠 Real Estate

💰 $21M Series A on 2021-04

Construction • Consulting • Real Estate

Higharc is a company that offers a comprehensive, cloud-based platform specialized for the homebuilding industry. The platform, known as the Homebuilding Cloud, streamlines the design, sales, and construction processes by providing real-time automation, 3D visualization, and centralized data management. This enables homebuilders to design, sell, and construct homes more efficiently while enhancing buyer experience and accelerating time-to-market. Higharc's solutions integrate seamlessly across various departments, aiding in everything from plan drafting and estimating to sales and marketing, contributing to significant time savings and increased operational efficiency for construction teams.

📋 Description

• own the data itself: the analytics models, the metric definitions, and the views built in tools like Looker and Observable • decide what belongs in front of which audience • direct the work infrastructure and engineering teams need to do to get the right data into the system • 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 analytics stack and decide where reporting should live

🎯 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.

🏖️ Benefits

• comprehensive medical, dental, and vision coverage • flexible PTO • meaningful maternity/paternity leave to all U.S based employees that are full-time • access to other big-company benefits such like short and long-term disability plans • 401K • stipend to create the ideal home office