Senior Analytics Engineer

Origin is a startup reimagining wealth management to make it accessible and affordable for all. They are seeking a Senior Analytics Engineer to transform raw data into actionable insights, shape the data ecosystem, and collaborate with various teams to drive data-informed decisions.

Responsibilities:

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