Senior Analytics Engineer
Origin · United States
- Hybrid
- Full-time
- $130,000 / year
- United States
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Job highlights
- Shape data ecosystem foundation.
- Design scalable data products.
- Build reusable datasets.
- Develop core metrics and dashboards.
- Drive decisions with data insights.
About the role
Senior Analytics Engineer
Origin is reimagining wealth management by making it accessible and affordable to all. 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.
About The Role
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 PTO
- 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
Key skills/competency
- Senior Analytics Engineer
- Data Modeling
- Data Pipelines
- dbt
- Airflow
- Redshift
- SQL
- Python
- Business Intelligence
- Stakeholder Management
Skills & topics
- Senior Analytics Engineer
- Data Engineering
- Analytics
- SQL
- Python
- dbt
- Airflow
- Redshift
- Business Intelligence
- Data Modeling
- Startup
- Remote
How to get hired
- Tailor your resume: Highlight advanced SQL, Python, dbt, and Airflow experience. Emphasize stakeholder collaboration.
- Showcase your impact: Quantify achievements in data modeling, pipeline development, and insight generation.
- Prepare for technical questions: Review SQL window functions, CTEs, data modeling principles, and Python scripting.
- Demonstrate cultural fit: Express passion for wealth management and a remote-first, fast-paced startup environment.
- Ask insightful questions: Inquire about data team structure, challenges, and growth opportunities.
Technical preparation
Master advanced SQL functions.,Practice Python for data tasks.,Build dbt models and Airflow DAGs.,Familiarize with BI tools.
Behavioral questions
Describe a complex data problem.,How do you ensure data quality?,How do you collaborate with stakeholders?,How do you handle ambiguity?
Frequently asked questions
- What are the key technical skills required for the Senior Analytics Engineer role at Origin?
- The Senior Analytics Engineer role at Origin requires advanced SQL skills, including window functions and CTEs, experience with Python for analysis or automation, hands-on experience with dbt models and Airflow pipelines, proficiency in BI tools like Tableau or Metabase, and strong data modeling principles. Experience partnering with cross-functional stakeholders is also crucial.
- What is the work arrangement for this Senior Analytics Engineer position at Origin?
- Origin offers a remote-first culture with flexible hours, though core hours are 9 AM to 5 PM local time. This means you can work from anywhere, with some expectations for availability during core business hours.
- What opportunities are there for growth in the Senior Analytics Engineer role at Origin?
- As one of the earliest members of the data team, this role offers significant opportunity to shape the data ecosystem's foundation. You will be instrumental in designing scalable data products and pipelines, which provides a strong platform for career advancement within Origin as the company grows.
- How does Origin support its remote employees?
- Origin supports its remote employees through a remote-first culture, flexible hours, a monthly co-working membership reimbursement, and a one-time stipend to build a home office. They also offer a pick-your-setup option for hardware and accessories.
- What makes Origin unique as a company for a Senior Analytics Engineer?
- Origin is focused on making wealth management accessible and affordable, tackling a significant source of stress for many. The company is in a Series B round, backed by reputable VCs, and led by repeat founders, offering a dynamic startup environment with opportunities to build foundational data systems.
- What are the benefits offered to a Senior Analytics Engineer at Origin?
- Origin offers a comprehensive benefits package including a generous base salary, meaningful equity, 401k, healthcare, a wellness stipend, mental wellness programs, unlimited PTO, paid parental leave, and additional perks like fertility assistance and home-office stipends.
- What is the expected collaboration like for the Senior Analytics Engineer at Origin?
- The Senior Analytics Engineer will collaborate closely with Product, Marketing, and Engineering teams. This involves defining event tracking standards, uncovering insights on user behavior, and ensuring data drives all decision-making across these departments.