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Analytics Engineer

Homebound LogoHomebound
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Homebound is on a mission to make it possible for anyone, anywhere, to build a home using technology. Created by an experienced team of construction, real estate, design, and technology experts, Homebound is transforming the residential construction industry by improving the costly and inefficient process of building a home.

We’ve created an entirely new way to build homes with technology powering every stage from start to finish to provide a seamless experience for our customers. Homeowners across the country can choose where they want to live, select a home plan that’s perfect for them, then personalize and buy it, all online. Homebound has raised $150M in capital from leading venture capitalists like Google, Khosla, Thrive Ventures, and we’re scaling quickly in places like California, Austin, Dallas, Houston and Denver. Come build your future with us.

Role Overview

Homebound is seeking an experienced Analytics Engineer to join the team. The ideal candidate will have a software development background as well as BI and analytics experience, and will be a key driver for scaling analytics and data-driven decision making at Homebound. The candidate would be comfortable in a fast-paced multi-tasked environment to establish and scale data and reporting best practices. The most successful candidate must possess a relentless bias for action and be extremely detail oriented and organized.

Responsibilities

  • Build trusted and scalable data models to power reporting and analytics that power our entire operations.
  • Design, develop, and extend DBT in a repeatable, scalable way to progress Homebound’s overall data maturity.
  • Model, design, develop, test and implement complex backend structures to meet visualization, reporting and analytics requirements.
  • Collaborate with leaders/members in data engineering, engineering, product management, and stakeholders on data, analytics, and reporting needs.
  • Lead the development of our SQL Modeling layer written in LookML & DBT ensuring it is performant, organized, and well-implemented.
  • Lead the development of reporting and analytical infrastructure.
  • Continuously learn about the industry trends and up-level organizational knowledge in data-related fields.

What You Have Done In Your Career

  • 3+ years of professional industry experience in business intelligence, data engineering/architecture, or analytics engineering, and working with self-service BI tools
  • Expertise within the Looker platform (Models, Explores, Views, Dashboards, Performance, Etc.)
  • Fluency with SQL and Python and expertise with modern data analysis tools like DBT,Airflow, Fivetran, Stitch, etc
  • Strong command of data modeling and warehousing principles, and the ability to build well designed tables that are optimized for analytics
  • Experience working within a cloud-based infrastructure, ideally AWS
  • Experience with cloud data warehouse technologies (e.g. Snowflake, Redshift, etc. )

Who You Are

  • Comfortable self-directing and prioritizing your own work
  • Results oriented with a bias towards action
  • Good-natured, humble, and generally positive person
  • Growth-mindset with a healthy dose of skepticism
  • Strong written and verbal skills who errs on the side of over communication
  • Strong sense of responsibility with a bias towards action
  • Strong written and verbal skills who errs on the side of overcommunication

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