Senior Analytics Engineer

About GlossGenius

GlossGenius is building an ecosystem enabling entrepreneurs to succeed. We empower small business owners to focus on being creators, not admins, by offering a range of business management tools including booking and scheduling, marketing, analytics, payment processing and much more. 

Over 75,000 small business owners have chosen to rely on GlossGenius every day to run their entire set of business operations. Joining its powerful, intuitive platform with its vibrant, distinguished brand, GlossGenius is the ideal combination of a fintech, SMB software, and consumer company all in one.

About the Role

As a Senior Analytics Engineer, you will be responsible for developing and optimizing our dbt infrastructure, implementing scalable data models, and ensuring consistent business logic across a fast-growing organization. You will partner cross-functionally with analytics, data engineering, and data-savvy business stakeholders to design reliable and consistent datasets that serve as the foundation for understanding customer behavior in our product.

Additionally, you will support the ongoing evolution of our data platform, including supporting the company’s transition towards software-oriented architecture and expanding business intelligence capabilities. This role offers the opportunity to shape our future data infrastructure in a high-growth environment while working on a diverse set of business-critical data initiatives.

You will report to the Manager of Analytics Engineering. You can be based remotely OR hybrid (Tuesdays & Thursdays in-office) from our NYC headquarters.

What You’ll Do

• Build, Refactor & Optimize Data Models in dbt: Design and maintain data transformations that ensure accurate, scalable, and high-quality datasets
• Serve as the Architect for Our dbt Project: Own and evolve the project’s architecture, design patterns, and best practices, ensuring consistency in data definitions and streamlined development.
• Create a Consistent User Experience: Unify metrics and definitions across our data warehouse and BI tools, driving reliable, self-service analytics for cross-functional stakeholders.
• Mentor & Uplevel the Team: Provide guidance and code reviews to analysts and data engineers, fostering a culture of collaboration, learning, and excellence in dbt and data modeling.
• Partner with Data Engineering to Manage Our Stack: Collaborate on the design, ingestion, and transformation pipelines—ensuring they’re scalable, efficient, and aligned with business needs.
• Champion Data Privacy & Quality: Implement and uphold governance processes and compliance measures to maintain the highest standards of data integrity.

What We’re Looking For 

• 4+ years of experience as an analytics engineer, …