Senior Analytics Engineer

Senior Analytics Engineer Senior Analytics Engineer ORIGIN Origin is reimagining wealth management by making it accessible and affordable to all. Today, money is the [ #1 ] source of stress - more than jobs, health, and relationships combined. That stress is exacerbated in the current economic environment, which is presenting people with once-in-a-generation financial challenges. Origin is tackling this problem head on by expanding access to financial planning for those who have historically been boxed out due to high barriers to entry. Our product simplifies finances for individuals making it easy to manage spend and investments, get expert advice, and take action to hit financial goals. We are a fast-paced startup in the series B round, led by repeat founders and backed by leading VC firms like Founders Fund, Felicis, and General Catalyst.

THE ROLE Mission We are looking for a Senior Analytics Engineer with a passion for transforming raw data into trusted, actionable insights that guide Origin’s growth. As one of the earliest members of our data team, you’ll shape the foundation of our data ecosystem - from modeling and pipeline architecture to dashboarding and stakeholder enablement. This role bridges analytics and engineering: you’ll design scalable data products and pipelines while partnering with Product, Marketing, and Engineering to ensure data drives every decision we make.

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. Must Have 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.