Loop

Columbus, OH

51-200 employees

We believe that brands have a profound power to build connectivity through e-commerce. We're working to change commerce for the better!

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Senior Analytics Engineer

Loop

Senior Analytics Engineer

Data Engineering

This job is no longer open

Loop is in an unparalleled position to provide data to our merchants that no one else is able to replicate. Data will be at the core of everything we do and some of our most critical work as we grow. Our future is to create data-based products that use modern techniques for delivering not only data but invaluable insights. We’ll identify problems our merchants don’t even know they have and use our data to create solutions that thrill merchants with their ability to predict and forecast their customer’s needs.

As an Analytics Engineer at Loop, you’ll have a significant impact on our ability to solve merchant problems and fulfill merchant needs. Our cloud-based data warehouse fuels the great work our Analytics team does. Your job is to model the raw data into clean, well-defined, analytics-ready datasets, acting as the bridge between Data Engineering and Analytics.

Loop HQ is a state-of-the-art office located in Columbus, Ohio, and more than half of our team works remotely across the United States and Canada. You can choose to join us in the Columbus office or stay fully remote in this role.

Technologies we’re excited by: dbt, SQL, Redshift, GCP Big Query, Docker, Git, Looker, Stitch

What You’ll Do:

Design, develop, and extend production-quality dbt code with an eye towards performance and maintainability.
Through a DataOps lens, collect business requirements, define successful analytics outcomes, and produce scalable database designs, data models, and reusable data assets.
Support our business analysts, engineers, and other team members by building, reviewing, and approving data model changes that help us continuously deliver value back to the business.
Collaborate with the Data Analyst and Data Engineering teams on data pipelines, ETL, data analysis and visualizations, etc.
Develop and maintain documentation that increases the understanding and utilization of our data assets.
Lead the implementation of our analytics, semantic, and metrics layers.

Your Experience:

4+ years of hands-on experience as a data analyst, data engineer, or equivalent.
2+ years of experience in data modeling and data warehouse architecture, with solid SQL experience.
At least 1 year of experience working with dbt.
Business acumen and experience with one or more functional areas such as Product, GTM, Finance, Marketing, Customer Experience.
Strong knowledge of software development best practices applied to data and analytics (DataOps), primarily related to version control, CI/CD, automation, and testing.
At least 1 year of experience working with dbt.
Self-motivated and self-managing, with a solution-oriented mindset.
Exceptional verbal, written and listening skills and the ability to bring consensus and communicate with a diverse audience.

In a perfect world, Loop wouldn't exist. If we had our way, we'd live in a world where we're mindful about how we consume, we love every product we own, and we share values with the brands who create them. In reality, commerce isn't perfect and often breaks. Loop creates second chances.

We're starting by revolutionizing the post-purchase experience. We've taken one of the most fragile commerce interactions - returns - and turned it into something consumers actually love, and that deepens our connection to brands and products.

We take connection seriously on the inside, too. We're building a work experience that allows you to Be A Human First and prioritizes empathy and wellbeing. We view Loop as a special place in your career to shape the future of an industry and become a better person while doing it. You can grow faster here in a shorter amount of time - we'll give you space and trust you to fill it.

Learn more about us here: https://loopreturns.com/careers.

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This job is no longer open