Senior Analytics Engineer at built | Powderkeg


Built is a growth-stage company at the intersection of FinTech and PropTech. We are on a mission to change the way the world gets built with technology and services that streamline the $1.4T U.S. construction industry.

By providing a centralized platform for all industry stakeholders, Built enables increased efficiency, collaboration, transparency, and business agility—allowing customers to build and manage the communities around us more profitably and with more confidence. The Built platform is used by hundreds of leading North American lenders and asset managers, and thousands of developers, home builders, and contractors.

Recently, we secured $213M in new venture funding from both new and existing investors, propelling us to a $1.5B valuation. This achievement solidifies our position as Nashville’s newest unicorn. Bringing on the “best talent in the world” is at the forefront of our continued growth trajectory—and we want you to be part of it.



We’re looking for a skilled Analytics Engineer to join our Enterprise Analytics team. As an Analytics Engineer, you will design and deliver well- defined, transformed, and documented data sets and dashboards. Your work will ensure Revenue and Finance teams have the data needed to make crucial business decisions. You will have the opportunity to design data solutions and solve challenging problems using Built’s cloud-based data infrastructure. As a member of the Data & Analytics team, you will develop alongside talented analysts, data scientists and product managers to help build a world-class data platform.

In this role you will:

  • Design, build, and maintain data pipelines, data-marts, and dashboards that will provide a complete view of Built’s business from Demand Generation to Client Success
  • Educate and enable cross-functional teams to leverage data-marts for operational and analytical purposes, creating scale and maximizing the effectiveness of data
  • Collaborate closely with Revenue and Finance teams to identify key business challenges and develop data-driven solutions to address them, serving as a strategic partner in systems thinking and advanced analytical modeling
  • Support data users at Built by troubleshooting technical data issues and clearly articulating the problem and solution
  • Work with fellow members of the Data & Analytics team to support Built’s data platform and improve our internal documentation, data quality, standards for style and best practices

Who You Are:

  • Expert in SQL and understanding of at least one programming language (Python preferred)
  • 3+ years of experience in data engineering, business intelligence, and/or data analytics
  • 2+ years of experience in cloud-based ELT technologies (Fivetran, Snowflake, dbt)
  • 2+ years of experience with analytics dashboarding and visualization tools (Tableau, Looker, Sigma, etc.)
  • Extensive expertise developing data models, maintaining data flows, and ensuring consistent data collection for cross-functional teams
  • Comfortable working with Git and the command line
  • Strong organizational, communication, and presentation skills

Built’s salary range for this position is $117,000-$148,500 USD per year. The pay range is designed to accommodate upward mobility in the role, therefore it encompasses the full span of proficiency levels for this role and we believe that the midpoint of the range is competitive in the market. Salary is just one component of Built's total compensation package for employees. Your total rewards package at Built will include equity, top-notch medical, dental and vision coverage, an unlimited PTO policy, and other benefits.


  • The rare opportunity to radically disrupt an industry
  • Competitive benefits including: uncapped vacation, health, dental & vision insurance, and 401k
  • Robust compensation package including base salary and equity
  • Flexible working hours, paid family leave, ERGs & Mentorship opportunities
  • Learning grant program to support ongoing professional development

Our company is made up of passionate people who are driven in a variety of disciplines—and each of them brings their unique perspective to everything they do. Creating a safe and inclusive workplace is critical to the success of our company and of our employees, so it’s our aim to recruit, hire and promote without bias against race, color, religion, sex, sexual orientation, gender identity, marital status, veteran status or any other status protected by applicable law. As we learn and as we grow, we’re committed to ensuring that these ideals are at the forefront of everything we do.

Greenhouse Disclosure

When you apply to a job on this site, the personal data contained in your application will be collected by Built Technologies (“Controller”). Your personal data will be processed for the purposes of managing Controller’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes.

Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller’s behalf.

Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for current or future employment. You have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have to right to data portability.

If you would like to contact Controller to ask questions surrounding processing of your personal data or to make a request, you can send an email to

For California residents: Please note that Controller does not sell your personal data or share it with third parties outside of Greenhouse Software, Inc.

Job Summary
  • Job Title
    Senior Analytics Engineer
  • Company
  • Location
  • Employment Type
    Full time
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