Senior Analytics Engineer

Role Overview

Origin is hiring a Senior Analytics Engineer to help transform raw data into trusted, actionable insights that guide the company’s growth. As one of the earliest members of the data team, you will shape the foundation of Origin’s data ecosystem—spanning data modeling, pipeline architecture, and stakeholder-facing analytics.

Responsibilities

• Design and maintain scalable data architecture, pipelines, and models using dbt, Airflow, and Amazon Redshift
• Build reusable datasets to support analytics, experimentation, and business intelligence
• Define event tracking/instrumentation standards in partnership with Engineering
• Develop core metrics, dashboards, and self-serve tools for stakeholders
• Partner cross-functionally with Product, Marketing, and Engineering to uncover insights on user behavior and growth
• Ensure data quality, reliability, and governance via validation and testing
• Communicate insights clearly to both technical and non-technical audiences
• Continuously improve workflows, documentation, and analytics processes

Requirements (Must Have)

• Advanced SQL (including window functions and CTEs)
• Python experience for analysis, modeling, or automation
• Hands-on experience building dbt models and Airflow pipelines
• Proficiency with BI/visualization tools: Tableau, Metabase, Power BI, or Mode
• Strong data modeling and analytics principles
• Experience partnering with cross-functional stakeholders
• Self-starter comfortable in a fast-paced environment

Nice to Have

• AWS data infrastructure experience (Redshift, S3, Terraform)
• Familiarity with GitHub and version-controlled workflows
• Experience building single-source-of-truth datasets from multiple data sources
• Statistical/experimental design skills for A/B testing
• Experience in high-growth startups or small data teams

Eligibility

• Must be legally authorized to work in the United States; visa sponsorship is not provided.