Senior Analytics Engineer

Role Overview

• Design and maintain scalable data architecture, pipelines, and models using dbt, Airflow, and Redshift.
• Build reusable datasets that power analytics, experimentation, and business intelligence.
• Collaborate with Engineering to define event tracking and instrumentation standards.
• Develop core metrics, dashboards, and self-serve tools for stakeholders.
• Partner with Product, Marketing, and Engineering to uncover insights on user behavior and growth.
• Ensure data quality, reliability, and governance through validation and testing.
• Communicate findings clearly to technical and non-technical audiences.
• Continuously improve workflows, documentation, and analytics processes.

Requirements

• Advanced SQL skills, including window functions and CTEs
• Experience with Python for analysis, modeling, or automation
• Hands-on experience building dbt models and Airflow pipelines
• Proficiency with BI and visualization tools (Tableau, Metabase, Power BI, Mode)
• Strong data modeling and analytics principles
• Experience partnering with cross-functional stakeholders
• Self-starter comfortable in a fast-paced environment
• Candidates must be legally authorized to work in the United States.
• Origin does not sponsor visas.

Tech Stack

• Airflow
• Amazon Redshift
• Python
• SQL
• Tableau

Benefits

• Generous base salary
• Meaningful equity package
• Retirement 401k for USA-based Originals
• Healthcare and wellness programs: Healthcare
• Wellness stipend
• Mental wellness program
• Unlimited access to financial planning
• Life insurance for USA-based Originals
• Unlimited DPTO
• Remote-first culture
• Flexible hours (Core hours: 9 AM to 5 PM local time)
• Paid Parental Leave
• Parenthood and fertility assistance
• Monthly co-working membership reimbursement
• English tutoring stipend for International Originals
• Build your home-office one-time stipend
• Pick your setup (Apple, Windows) and accessories