Rogo

Analytics Engineer

New York City

Sponsorship not specifiedDetected 27 days ago

PythonFull-Stack DevelopmentSQLSnowflakedbtData EngineeringData VisualizationSalesforceFP&A

About the role

Contribute to a high standard for data quality, testing, and documentation across the analytics codebase
Analytics at Rogo is how we understand our product, our customers, and our business.
You will not be siloed into one function.

If you thrive in a fast-paced environment, demand excellence, and want to help build the future of finance, we invite you to join us.
You'll own real surface area and watch the world's most sophisticated users rely on your work.
Build, maintain, and extend data pipelines and dbt models that transform raw data into clean, reliable datasets used across the company
Own the reporting layer across key business domains - building internal tooling and dashboarding to give our teams the visibility they need to make decisions
Support our third-party vendor relationships with financial data providers (LSEG, FactSet, Pitchbook,etc) in close partnership with engineering and our data PM
Partner with Finance on the data infrastructure supporting FP&A, unit economics, and board reporting - ensuring metrics are consistent, trustworthy, and well-documented
You will work across our entire data ecosystem - from third-party vendor datasets to customer-facing usage reports to GTM performance analytics - and be expected to develop a genuine understanding of how Rogo's business works.
Experience building dashboards and reports that non-technical stakeholders actually find useful (Sigma, Looker, Hex, or similar)
Business instinct - you understand that data work exists to drive decisions, and you connect your output to outcomes, not just deliverables
Experience building analytics at an early-stage startup

You are high-intensity and care a lot about what you do, and you're ecstatic to work at a startup.
You are ambitious.
You have fun solving problems that others think are impossible.
You are curious.
You are an owner.
You are autonomous, self-directed, and comfortable working with ambiguity.
You are collaborative, organized, thoughtful, and kind.
There is nowhere else you can work on it at this scale.
4-8 years of experience in analytics, data engineering, or a closely related role
Experience with third-party financial or B2B data vendors (LSEG, FactSet, Crunchbase, ZoomInfo, Apollo, or similar)

Deep SQL proficiency - you write and optimize complex queries fluently and know your way around a modern cloud data warehouse (Snowflake preferred)

Rogo has strong product adoption with the world's leading financial institutions, and we are still early.
The upside is enormous.
As an Analytics Engineer, you will be a trusted data partner across the company - embedded with Finance, GTM, Product, and Engineering - building the pipelines, models, and dashboards that turn raw data into decisions.
We are looking for someone who brings a full-stack mindset, a strong business instinct, and a genuine excitement about using AI to change how this work gets done.
If you want to help define what modern analytics looks like at a frontier AI company, we'd love to talk.
Our mission is to transform 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.
With a rapidly growing, global client base, proven product-market fit, and backing from world-class investors, we are scaling quickly and defining a new category of enterprise AI.
Our team is sharp, motivated, and deeply committed to Rogo's mission.
Build customer-facing analytics and usage reporting - the dashboards and datasets that Rogo's enterprise customers use to understand their own usage, adoption, and ROI

This listing is sourced directly from Rogo's careers page and normalized into a canonical job model.