Data Analyst

Rho; New York (NY); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Equity

Healthcare benefits

Paid time off

Job summary

Rho in New York is seeking a data analyst to empower both people and AI agents with reliable data and insights. This is a hands-on, end-to-end role spanning data pipelining, data modeling for new features, and building the semantic layer that defines how Rho measures itself and turns analyses into decisions with stakeholders across the company.

You’ll collaborate with data engineering and business stakeholders from GTM, Product, and other teams to ensure reliable self-service data for routine

Qualifications

• 2–4 years of data analyst or analytics engineer experience.
• Strong SQL debugging and logical thinking abilities.
• Ability to translate data insights into actionable recommendations for stakeholders.
• Hands-on experience building models in dbt or similar frameworks.
• Excellent written and verbal communication adaptable to varied audiences.
• Familiarity with BI tools like Looker, Tableau, Omni, Hex.

Responsibilities

• Drive decision-making by scoping questions with stakeholders and transforming analyses into actionable recommendations.
• Identify opportunity areas across verticals and act as a SME on data sources and metrics.
• Build and maintain models via dbt; onboard and test raw warehouse data, curate end-user tables, and document breakages.
• Ensure data accuracy and usefulness for end-users, analysts, and AI agents through collaboration with data engineering.
• Uphold data governance by maintaining consistent metric definitions within the semantic layer.
• Own BI reporting for multiple verticals, from Compliance to GTM, and deprecate obsolete assets.

Skills

SQL mastery

dbt modeling

Data storytelling

Looker/Tableau experience

Communication

Tools

dbt

Looker

Omni

Hex

Tableau

Job description

About Us

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 - all in one connected platform backed by real human support.

About the Role:

Rho’s data has two types of consumers: people and AI agents. As our 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. You will build the semantic layer that defines how Rho measures itself and turn analyses into decisions with stakeholders across the whole business.

The increased adoption of agentic tools and the acceleration of Rho’s own product velocity result in more people consuming data, more data-backed outputs, and even more business questions to answer. More than ever, it’s imperative that a data team ensures reliable self‑service data for routine reporting or inbound requests while being hands‑on for deeper analysis that drives decision‑making.

You’re accountable for faster and data‑driven decision‑making, not for the number of dashboards or reports built. This is a cross‑functional role that will interface with data engineering as well as business‑side stakeholders from GTM, Product, and other departments. This role is based in our New York office and reports to our Manager, Product Analytics who is also based there.

What You’ll Do

• 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. Operate flexibly across verticals and function as a subject matter expert on data sources and key metrics.

• Empower Rho’s internal data consumers. Enhance data enablement through building and maintaining models via dbt. Own the end‑to‑end process: onboard raw warehouse data, add relevant tests and documentation, curate end‑user tables, and debug any subsequent breakages.

• Ensure that data is accurate and useful for end‑users, analysts, and AI agents by collaborating with data engineering and sharing relevant 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. Build or tune any required reporting, and safely deprecate obsolete assets.

What You Bring

• 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

Pay

• Our target compensation range for this role is: $120K to $150K, with variation based on relevant experience, skills, and business needs. In addition to base pay, Rho offers equity, comprehensive healthcare benefits, and paid time off.