Analytics Engineer

About the Company

Rogo is transforming global finance by empowering professionals at the world's top investment banks, private equity funds, and investment firms with AI that delivers unparalleled speed, accuracy, and insight. We are a frontier AI company defining a new category of enterprise AI for the financial industry.

Responsibilities

• Build, maintain, and extend data pipelines and dbt models to transform raw data into clean, reliable datasets
• Own the reporting layer across key business domains, building internal tooling and dashboards
• Develop deep familiarity with Rogo’s data model to serve as a resource for stakeholders
• Support third-party vendor relationships with financial data providers like LSEG, FactSet, and Pitchbook
• Support GTM analytics by building the data layer for account health, pipeline reporting, and customer activity tracking
• Build customer-facing analytics and usage reporting for enterprise customers
• Partner with Finance on data infrastructure supporting FP&A, unit economics, and board reporting
• Maintain high standards for data quality, testing, and documentation

Requirements

• 4–8 years of experience in analytics, data engineering, or a closely related role
• Deep SQL proficiency and experience with modern cloud data warehouses (Snowflake preferred)
• Hands-on dbt experience including models, tests, and macros
• Experience building dashboards for non-technical stakeholders (Sigma, Looker, Hex, or similar)
• Full-stack mindset and strong business instinct to connect data to outcomes
• Ability to operate across multiple stakeholders and domains autonomously

Preferred Qualifications

• Experience with third-party financial or B2B data vendors (LSEG, FactSet, Crunchbase, ZoomInfo, Apollo)
• Familiarity with Salesforce data models and GTM data pipelines
• Python proficiency for data transformation or analytical work
• Background in financial services, enterprise SaaS, or vertical AI
• Experience building analytics at an early-stage startup