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Senior Analytics Engineer

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About GlossGenius

GlossGenius is building an ecosystem enabling entrepreneurs to succeed.  We empower small businesses 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.

Tens of thousands of small business owners have chosen to rely on GlossGenius every day to run their entire set of business operations. With its powerful, intuitive platform, GlossGenius is some part a fintech company, some part an SMB software company, while its vibrant, distinguished brand makes it some part a consumer company.

About the Role

As a Senior Analytics Engineer, you will be responsible for building and fine tuning a scalable data warehouse that drives impactful business outcomes as GlossGenius continues to grow. You will partner cross-functionally with analytics, data engineering and data savvy business stakeholders to design reliable and consistent datasets, identify opportunities for improvement across business verticals, and scale data-driven decision making with self-serve data assets.

You will report to the Head of Data and are welcome to either work out of our office in New York City or work remotely from anywhere in the continental US.

What You’ll Do

  • Build, maintain, refactor and optimize data models in our dbt project
  • Serve as the architect for our dbt project as a whole
  • Create a consistent user experience across our warehouse and BI tools
  • Mentor and uplevel analysts and data engineers in data modeling and dbt best practices
  • Partner with the Data Engineering team to manage our data stack
  • Be a champion of data privacy and quality

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
  • A demonstrated self-starter with strong communication and project management skills
  • Familiarity with the technologies in our stack (Segment, Fivetran, Snowflake, dbt, Looker) is a plus
  • Experience with managing Snowflake costs is a plus

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