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Senior Analytics Engineer

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Salary

$175,000 - $200,000

Location

Remote

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 science, data engineering, and data-savvy business stakeholders to design reliable and consistent datasets that serve as the foundation for understanding our business. 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.

This role will report into the Sr. Manager of GTM Data & Analytics.

What You’ll Do

  • 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.
  • Unify metrics and definitions across our data warehouse and BI tools, driving reliable, self-service analytics for analytics team members and cross-functional stakeholders.
  • Mentor & Upskill the Team: Provide guidance and code reviews to analysts and analytics 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

  • 5+ years of experience as an analytics engineer, data engineer, or business intelligence engineer and 2+ years developing in dbt, ideally at a B2B 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, BigQuery, 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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