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Salary: USD 120,000 - 150,000 / annual
Rho is a modern banking platform built for the AI era, enabling startups and growth-stage companies to open accounts, issue cards, manage expenses, pay bills, and close books in one connected platform.
As a Data Analyst at Rho, you will serve two types of data consumers: people and AI agents. This is a hands-on, end-to-end role spanning data pipelining, modeling, semantic layer development, and actionable insights delivery.
Key Responsibilities:
- Drive business decision-making by working directly with cross-functional stakeholders to scope ambiguous questions, conduct analyses, and transform findings into clear, actionable recommendations
- Proactively uncover opportunity areas as a domain expert across verticals, operating flexibly and maintaining deep knowledge of data sources and key metrics
- Empower internal data consumers by building and maintaining dbt models: onboarding raw warehouse data, adding tests and documentation, curating end-user tables, and debugging breakages
- Ensure data accuracy and usefulness for end-users, analysts, and AI agents through collaboration with data engineering and sharing relevant business context
- Maintain data integrity and governance standards by upholding consistent metric definitions within the dbt semantic layer
- Own BI reporting for multiple verticals (Compliance, GTM, etc.), building or tuning required reporting and safely deprecating obsolete assets
You will report to the Manager of Product Analytics and be based in the New York office. The role emphasizes faster, data-driven decision-making over dashboard volume, with accountability for enabling reliable self-service data while conducting deeper analyses that drive strategic decisions.
Requirements:
- 2 to 4 years of experience as a data analyst, business analyst, analytics engineer, business intelligence engineer, or similar role
- Outstanding SQL ability, particularly comfortable with debugging complex logic
- Hands-on experience building models in dbt or similar data transformation frameworks
- Track record of translating data insights into actionable recommendations for stakeholders
- Excellent written and verbal communication, with ability to adapt to audiences of varying technical backgrounds
- Demonstrated use of AI tools to move faster (automating repetitive tasks, drafting initial analyses)
- Prior experience building or maintaining dashboards in Looker, Omni, Hex, Tableau, or similar BI tools
- Growth mindset and ability to quickly learn new business domains or product surface areas in fast-moving environments
Nice to Have:
- Experience in financial services, banking, technology, or fast-paced startups
- Experience supporting multiple verticals or departments simultaneously
- Experience building dbt semantic layers and refining the warehouse for both human and AI agent consumption
- Familiarity with machine learning concepts and predictive analytics
