Data Analyst

Rho•New York, NY

4d•$120,000 - $150,000•Onsite

About The Position

Rho is a modern banking platform for startups and growth-stage companies. The Data Analyst will provide reliable data and meaningful insights for both people and AI agents in a hands-on, end-to-end role spanning data pipelines, data modeling, analysis, and recommendations. The role models data for new features and product lines, develops the semantic layer that defines company metrics, and supports data-driven decisions across the business. The analyst will help enable reliable self-service data for routine reporting and requests while conducting deeper analyses to inform decisions. The position works cross-functionally with data engineering and stakeholders in GTM, Product, and other departments. It is based in Rho’s New York office and reports to the Manager, Product Analytics.

Requirements

2 to 4 years of experience as a data analyst, business analyst, analytics engineer, business intelligence engineer, or in a similar role.
Growth mindset and ability to learn new business domains or product areas quickly in a fast-moving environment.
Outstanding SQL skills, including comfort debugging complex logic.
Track record of translating data insights into actionable stakeholder recommendations.
Hands-on experience building models in dbt or similar data transformation frameworks.
Excellent written and verbal communication skills, with the ability to adapt to audiences with varying technical backgrounds.
Uses AI tools to work faster, such as automating repetitive tasks or drafting initial analyses, and is curious about emerging developments.
Prior experience building or maintaining dashboards in Looker, Omni, Hex, Tableau, or other BI or analytical tools.

Nice To Haves

Experience in financial services, banking, technology, or a fast-paced startup.
Experience supporting multiple verticals or departments simultaneously.
Experience building a dbt semantic layer and refining the warehouse as a resource for both people and AI agents.
Familiarity with machine learning concepts and predictive analytics.

Responsibilities

Work with stakeholders across the company to scope ambiguous questions, conduct analyses, and turn findings into clear, actionable recommendations.
Proactively identify opportunities through domain knowledge across business verticals; work flexibly across verticals and serve as a subject matter expert on data sources and key metrics.
Enable internal data consumers by building and maintaining dbt models, onboarding raw warehouse data, adding tests and documentation, curating end-user tables, and debugging breakages.
Collaborate with data engineering and provide business context to ensure data is accurate and useful for end users, analysts, and AI agents.
Maintain data integrity and governance by keeping metric definitions consistent in the dbt semantic layer.
Own BI reporting across multiple verticals, including Compliance and GTM; build or tune reporting and safely deprecate obsolete assets.