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Senior Analytics Engineer

ThriftBooks

MarketingFull Time$112k - $168k

Location Seattle, WA (Hybrid)

Posted August 30, 2026

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Job Description

ThriftBooks is the world's largest used book retailer! We believe in a workplace where respect for our employees matters, where promoting from within is how we grow, and where safety comes first in all our decisions and planning. At ThriftBooks, your work will help get inexpensive books into the hands of people who need them instead of going into landfill. We strive to create a friendly work environment with high standards of performance and rewards for excellence. We started out small and remember that encouraging people to do their best is how we expanded to our current scale. If you want to learn about the intersection of technology, innovation, and good old-fashioned teamwork, we might be a good fit for you. Wherever you start in the company, our hope is that it is a launching point to higher achievement. At ThriftBooks, your success is up to you. We are looking for a Senior Analytics Engineer to build data models that enable analytics and decision-making across ThriftBooks. You will make data easy to discover, understand, and trust. Working closely with business analysts, data scientists and engineers, you'll build the analytics foundation that supports reporting, experimentation, and operational decision making. WHAT YOU'LL DO: Use dbt to deliver well-defined, transformed, tested, documented, and code-reviewed data sets that enable business analysts to answer questions without reinventing business logic. Improve data quality through debugging, testing, monitoring, documentation, and process improvements that balance performance, maintainability, and business needs Work closely with business partners to understand business processes, define metrics, anticipate future needs, and translate ambiguous questions into scalable solutions. Promote analytics engineering best practices through thoughtful solution design, code review and collaboration. Contribute to a culture of continuous learning and technical excellence. Use off-the-shelf tools like Fivetran and Stitch for data ingestion TRAVEL: This role involves limited travel for collaboration and professional development (approximately 10 days per year). LOCATION: We find that some in-person time supports our digital work. This is a hybrid role based out of our Tukwila, Washington corporate office.

About The Company

ThriftBooks

bookstore

Tukwila, WA

ThriftBooks began in Seattle in 2003 with a storage unit of used books and sales through online marketplaces.

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ThriftBooks is the world's largest used book retailer! We believe in a workplace where respect for our employees matters, where promoting from within is how we grow, and where safety comes first in all our decisions and planning. At ThriftBooks, your work will help get inexpensive books into the hands of people who need them instead of going into landfill. We strive to create a friendly work environment with high standards of performance and rewards for excellence. We started out small and remember that encouraging people to do their best is how we expanded to our current scale. If you want to learn about the intersection of technology, innovation, and good old-fashioned teamwork, we might be a good fit for you. Wherever you start in the company, our hope is that it is a launching point to higher achievement. At ThriftBooks, your success is up to you. We are looking for a Senior Analytics Engineer to build data models that enable analytics and decision-making across ThriftBooks. You will make data easy to discover, understand, and trust. Working closely with business analysts, data scientists and engineers, you'll build the analytics foundation that supports reporting, experimentation, and operational decision making. WHAT YOU'LL DO: Use dbt to deliver well-defined, transformed, tested, documented, and code-reviewed data sets that enable business analysts to answer questions without reinventing business logic. Improve data quality through debugging, testing, monitoring, documentation, and process improvements that balance performance, maintainability, and business needs Work closely with business partners to understand business processes, define metrics, anticipate future needs, and translate ambiguous questions into scalable solutions. Promote analytics engineering best practices through thoughtful solution design, code review and collaboration. Contribute to a culture of continuous learning and technical excellence. Use off-the-shelf tools like Fivetran and Stitch for data ingestion TRAVEL: This role involves limited travel for collaboration and professional development (approximately 10 days per year). LOCATION: We find that some in-person time supports our digital work. This is a hybrid role based out of our Tukwila, Washington corporate office.

ThriftBooks is the world's largest used book retailer! We believe in a workplace where respect for our employees matters, where promoting from within is how we grow, and where safety comes first in all our decisions and planning. At ThriftBooks, your work will help get inexpensive books into the hands of people who need them instead of going into landfill. We strive to create a friendly work environment with high standards of performance and rewards for excellence. We started out small and remember that encouraging people to do their best is how we expanded to our current scale. If you want to learn about the intersection of technology, innovation, and good old-fashioned teamwork, we might be a good fit for you. Wherever you start in the company, our hope is that it is a launching point to higher achievement. At ThriftBooks, your success is up to you. We are looking for a Senior Analytics Engineer to build data models that enable analytics and decision-making across ThriftBooks. You will make data easy to discover, understand, and trust. Working closely with business analysts, data scientists and engineers, you'll build the analytics foundation that supports reporting, experimentation, and operational decision making. WHAT YOU'LL DO: Use dbt to deliver well-defined, transformed, tested, documented, and code-reviewed data sets that enable business analysts to answer questions without reinventing business logic. Improve data quality through debugging, testing, monitoring, documentation, and process improvements that balance performance, maintainability, and business needs Work closely with business partners to understand business processes, define metrics, anticipate future needs, and translate ambiguous questions into scalable solutions. Promote analytics engineering best practices through thoughtful solution design, code review and collaboration. Contribute to a culture of continuous learning and technical excellence. Use off-the-shelf tools like Fivetran and Stitch for data ingestion TRAVEL: This role involves limited travel for collaboration and professional development (approximately 10 days per year). LOCATION: We find that some in-person time supports our digital work. This is a hybrid role based out of our Tukwila, Washington corporate office.