Data analyst

Rho is the modern banking platform built for the AI era. Startups and growth-stage companies can open accounts in minutes, issue cards, manage expenses, pay bills, and close the books in one connected platform backed by real human support. Rho's data has two types of consumers: people and AI agents. As the data analyst, you will empower both with reliable data and meaningful insights. This is a hands-on, end-to-end role that involves everything from data pipelining to delivering recommendations. You will model new data for Rho's latest features and product lines, build the semantic layer that defines how Rho measures itself, and turn analyses into decisions with stakeholders across the business. The role is cross-functional, interfaces with data engineering and business stakeholders from GTM, Product, and other departments, is based in the New York office, and reports to the Manager, Product Analytics.

Responsibilities

Drive business decision-making by working directly with stakeholders across the company to scope ambiguous questions, conduct analyses, and transform analyses into clear, actionable recommendations; Proactively uncover opportunity areas as a holder of domain knowledge across verticals, functioning as a subject matter expert on data sources and key metrics; Empower Rho's internal data consumers by building and maintaining models via dbt, onboarding raw warehouse data, adding tests and documentation, curating end-user tables, and debugging breakages; Ensure data is accurate and useful for end-users, analysts, and AI agents by collaborating with data engineering and sharing business context; Uphold data integrity and governance standards by maintaining consistent metric definitions within the dbt semantic layer; Own BI reporting for multiple verticals, ranging from Compliance to GTM, building or tuning reporting and safely deprecating obsolete assets

Requirements

2 to 4 years of experience as a data analyst, business analyst, analytics engineer, business intelligence engineer, or similar role; A growth mindset and ability to quickly learn about new business domains or product surface areas in a fast-moving environment; Outstanding SQL ability, and particularly comfortable with debugging complex logic; Track record of translating data insights into actionable recommendations for stakeholders; Hands-on experience building models in dbt or similar data transformation frameworks; Excellent written and verbal communication, with the ability to adapt to audiences of varying technical backgrounds; You already use AI to move faster, whether it's by automating repetitive tasks or drafting initial analyses. You are curious about what's next.; Prior experience in building or maintaining dashboards in Looker, Omni, Hex, Tableau, and other business intelligence or analytical tools

Nice to have

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

Benefits

Equity; comprehensive healthcare benefits; paid time off