Job Overview
Location
New York City
Job Type
Full-time
Category
Data Science
Date Posted
June 26, 2026
Full Job Description
đź“‹ Description
- • Build, maintain, and extend data pipelines and dbt models to transform raw data into clean, reliable datasets used across the company
- • Own the reporting layer across key business domains by building internal tooling and dashboarding to enable data-driven decision-making
- • Develop deep familiarity with Rogo’s data model and serve as a go-to resource for stakeholders interpreting data meaning and context
- • Support third-party vendor relationships with financial data providers including LSEG, FactSet, and PitchBook in close partnership with engineering and data product management
- • Support GTM analytics by building the data layer that powers account health, pipeline reporting, and customer activity tracking to augment the RevOps team
- • Build customer-facing analytics and usage reporting dashboards and datasets that enterprise clients use to understand their usage, adoption, and ROI
- • Partner with Finance on data infrastructure supporting FP&A, unit economics, and board reporting, ensuring metrics are consistent, trustworthy, and well-documented
- • Contribute to a high standard for data quality, testing, and documentation across the entire analytics codebase
- • Work cross-functionally with Finance, GTM, Product, and Engineering teams as a trusted data partner without being siloed into one function
- • Engage with a full-stack data ecosystem ranging from third-party vendor datasets to customer-facing usage reports and internal performance analytics
- • Anticipate data needs before they are formally requested, translating business questions into actionable data solutions
- • Operate with a full-stack mindset, following problems through to resolution beyond traditional role boundaries
- • Connect data outputs directly to business outcomes, not just deliverables, demonstrating strong business instinct
- • Work autonomously across multiple domains with minimal hand-holding, adapting to ambiguity and fast-paced priorities
- • Contribute to defining modern analytics practices at a frontier AI company serving top investment banks, private equity funds, and investment firms
🎯 Requirements
- • 4–8 years of experience in analytics, data engineering, or a closely related role
- • Deep SQL proficiency with fluency in writing and optimizing complex queries and experience with a modern cloud data warehouse (Snowflake preferred)
- • Hands-on dbt experience including models, tests, macros, and understanding of well-structured transformation layers
- • Experience building dashboards and reports that non-technical stakeholders find useful (Sigma, Looker, Hex, or similar)
- • Full-stack mindset — ability to own problems end-to-end without handing off at role boundaries
- • Strong business instinct — ability to connect data work to business outcomes and decision-making
🏖️ Benefits
- • Work at a frontier AI company transforming finance with enterprise-grade AI products
- • Join a high-talent-density team of sharp professionals in AI and finance
- • Own real surface area with direct impact on the world’s most sophisticated financial users
- • Operate at the cutting edge of AI model applications and product development
- • Be part of a rapidly scaling startup with strong product-market fit and backing from world-class investors
- • Enjoy a high-intensity, ownership-driven culture where ambition and curiosity are rewarded
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Rogo, Inc.
Rogo, Inc. provides generative AI technology for financial services firms, enabling investment banks, asset managers and private equity teams to query internal documents, generate reports and automate workflows. The platform combines large language models with proprietary data connectors to extract insights from research, filings and proprietary documents while maintaining security and compliance standards. Founded in 2021 and headquartered in New York City, the company serves bulge-bracket banks and alternative investment managers seeking to accelerate analysis and decision-making across M&A, capital markets and investment research functions.
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