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Senior Analytics Engineer

GlossGenius LogoGlossGenius
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Salary

$173,000-$204,000

Location

Remote or hybrid (Tuesdays & Thursdays in-office) from our NYC headquarters

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, data engineer, or business intelligence engineer and 2+ years developing in dbt, ideally at a SaaS company
  • Advanced proficiency in SQL
  • Previous experience with data modeling, ETL/ELT development principles, and data warehousing concepts
  • Familiarity with the tools in our stack (Segment, Fivetran, Snowflake, dbt, Looker, Airflow) is preferred
  • A naturally inquisitive, critical thinker, who enjoys and is effective at solving problems
  • A demonstrated self-starter with strong communication and project management skills

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