Analytics Engineer

Rogo • New York, NY

2d

About The Position

Analytics at Rogo is how we understand our product, our customers, and our business. 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.
This is a domain-agnostic role. You will not be siloed into one function. 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. The best person in this role won’t just answer questions; they’ll anticipate them.
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.

Requirements

• 4–8 years of experience in analytics, data engineering, or a closely related role
• Deep SQL proficiency — you write and optimize complex queries fluently and know your way around a modern cloud data warehouse (Snowflake preferred)
• Hands-on dbt experience: models, tests, macros, and a sense for what makes a well-structured transformation layer
• Experience building dashboards and reports that non-technical stakeholders actually find useful (Sigma, Looker, Hex, or similar)
• A full-stack mindset — you don’t hand off problems at the edge of your job description; you follow them through
• Business instinct — you understand that data work exists to drive decisions, and you connect your output to outcomes, not just deliverables
• Comfort operating across multiple stakeholders and domains without a lot of hand-holding

Nice To Haves

• Experience with third-party financial or B2B data vendors (LSEG, FactSet, Crunchbase, ZoomInfo, Apollo, or similar)
• 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

Responsibilities

• 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
• Develop a deep familiarity with Rogo’s data model and become a go-to resource for stakeholders who need to understand what the data says and what it means
• Support our third-party vendor relationships with financial data providers (LSEG, FactSet, Pitchbook,etc) in close partnership with engineering and our data PM
• Support GTM analytics by building the data layer that powers account health, pipeline reporting, and customer activity tracking — augmenting a strong RevOps team with reliable, well-modeled data
• 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
• Partner with Finance on the 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 analytics codebase

Benefits

• Up and to the right: Rogo has strong product adoption with the world's leading financial institutions, and we are still early. The upside is enormous.
• Extraordinary team: we take talent density seriously. You'll do the best work of your career alongside some of the sharpest people in AI and finance.
• A one-of-one problem: bringing AI to the core of how Wall Street works is one of the most ambitious, technically demanding, and consequential problems today. There is nowhere else you can work on it at this scale.
• Real ownership: You'll own real surface area and watch the world's most sophisticated users rely on your work.
• Always at the frontier: we work at the edge of what the best models can do and turn it into products people trust. If you're obsessed with AI, this is where it's happening.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed