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. Nice to Have 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. Eligibility Requirements Candidates must be legally authorized to work in the United States. Origin does not sponsor visas. WHAT WE OFFER Financial 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 Work-life balance: Unlimited DPTO Remote-first culture Flexible hours (Core hours: 9 AM to 5 PM local time) Paid Parental Leave Additional perks: 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 ORIGINALS Fulfilling our mission is only possible with a diverse team that breathes for excellence and is hugely committed to making money simple for everyone, everywhere. As a team, we are obsessed with delivering the best solution possible to our members through an elegant and self-guided experience. We know that building a product of this magnitude requires from us tons of creativity, autonomy, and flexibili