--- title: 'Data Engineer: Analytics at Rogo' canonical: 'https://feeny.ai/job/data-engineer-analytics-rogo-new-york-n9kgwyy4a0yk' type: 'job' last_seen: '2026-10-13' --- # Data Engineer: Analytics at Rogo - **Company:** Rogo - **Location:** New York, NY - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-06-25 - **Last confirmed live:** 2026-10-13 - **Apply:** https://jobs.ashbyhq.com/rogo/f78497ad-e879-4b79-9a28-09a9cdcf94be/application **Skills:** SQL, dbt, Snowflake, Sigma, Looker, Hex, Data Engineering, Data Modeling, Dashboarding, Python, Salesforce, LSEG, FactSet, Crunchbase, ZoomInfo, Apollo, Financial Services, Enterprise SaaS, Vertical AI > The Analytics Engineer builds and maintains data pipelines, dbt models, and dashboards to transform raw data into actionable insights for Finance, GTM, and Product teams. This role requires a full-stack mindset to support third-party vendor relationships, GTM analytics, and customer-facing reporting while ensuring h... ## Job description ## Why Rogo 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. We're not just improving financial workflows; we're redefining them. This is a unique opportunity to join a generational company driving transformation in one of the most important industries in the world. 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. We take ownership of complex problems and stay relentlessly focused on our users. 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. ## The Role Analytics at Rogo defines the metrics, runs the pipelines behind them, and turns both into decisions and a better product. We’re hiring a Data Engineer to take full ownership of our Analytics infrastructure and build it into something that scales confidently with the company. This is a hands-on, high-leverage role: pipelines, orchestration, and reliability. If you are an experienced data engineer excited about how your role can evolve at an AI-native organization, this is the opportunity for you. In many ways this is also a product role. Rogo productizes how we use our own data — many of our Analytical features began as internal analytics work. You will be expected to know the product as well as any engineer here, because the systems you build both measure it and support its development. We expect everyone at Rogo to take ownership of making our product better for our users. ## What You Will Own - Own analytics infrastructure: the ETL pipelines, Snowflake, dbt models, orchestration, and the reliability of all of it. - Analytics evals: design and run the evaluation and testing layer for our agentic analytics surfaces — internal agents that answer thousands of questions a quarter, and the customer-facing analytics our enterprise admins rely on. This is one of the defining problems of doing analytics at an AI company. - Own core KPIs: the definitions, the pipelines that produce them, and the documentation that makes them legible. When a number moves, you can say whether the pipeline broke, the definition changed, or the business moved. - Know the product inside and out: develop the same depth of product understanding as any engineer or salesperson at Rogo. - Turn internal work into product: partner with engineering and product where our analytics infrastructure becomes a customer-facing feature. - Pick up a lane of analytics work: as the foundation solidifies, take a domain of your own and go deep, so the team’s judgment grows alongside its infrastructure. ## What You Will Need - 5+ years of professional experience in data engineering, analytics engineering, or a closely related role, with a track record of owning production data systems. - Deep SQL proficiency and fluency in a modern cloud data warehouse (Snowflake preferred) - Hands-on dbt experience: models, tests, macros, incremental strategies, and a real point of view on what makes a well-structured transformation layer. - Strong Python for pipeline and transformation work, and comfort with orchestration and modern ETL tooling. - You have a real point of view on keeping a fast refresh cadence as event volume geometrically increases with our business: partitioning strategies, incremental model design, storage tiering, etc. - Genuine fluency with AI products. You’ve used agentic tools seriously and have a working picture of what happens between a question and an answer: retrieval, tool calls, model turns, and where cost accrues. - Real curiosity about the business. You care about and take ownership of what a number means, not only that the job ran. - Comfort operating with autonomy across multiple stakeholders and domains. Bonus - Growth-stage experience, or familiarity with the scale of data Rogo will be handling twelve months from now. - Experience building evals or test harnesses for LLM-powered systems. - Experience with single- and multi-tenant customer architectures. - Familiarity with Salesforce, Intercom, or usage-based billing data models (Metronome or similar). - Experience with third-party financial or B2B data vendors (LSEG, FactSet, Crunchbase, ZoomInfo, Apollo, or similar). - Background in financial services, enterprise SaaS, or vertical AI. ## Who You Are - You thrive in fast-paced environments. 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 find joy in learning about AI, technology, and finance. - You are an owner. You are autonomous, self-directed, and comfortable working with ambiguity. - You are collaborative, organized, thoughtful, and kind. Why Join Rogo? - 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. ## About Rogo ## Company Overview - **One-liner**: Rogo provides a purpose-built AI platform for elite financial institutions, enabling bankers and investors to work smarter, move faster, and win more deals. - **Entity Type**: Private (Series D) - **Headquarters**: New York, New York, United States - **Founded**: 2021 - **Founders**: Tumas R. (Co-Founder), Andrew McClure (Founding GTM), Eric Xu (Founding AI Engineer) ## Core Business - **Primary industry/industries**: AI-powered software for financial services (Investment Banking, Private Equity, Hedge Funds, Sales & Trading) - **Target customers**: B2B, Enterprise (elite financial institutions) - **Mission or purpose statement**: To create the biggest financial AI company on earth, redefining knowledge work with AI tools for the most ambitious firms in finance. [rogo.ai](https://rogo.ai/) ## Products & Services - **Rogo AI Platform**: A purpose-built AI platform for finance that integrates internal and external data sources (SharePoint, CRM, market data, filings, research). It features AI agents that understand financial workflows and execute end-to-end work (e.g., building auditable Excel models, investment memos, diligence materials, and slide decks). The platform is designed for institutional-grade outputs and bespoke enterprise deployment. [rogo.ai](https://rogo.ai/) ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed - **Key Metric**: Total Funding of **$315.5M** (as of Series D in April 2026) - **Notable Investors/Partners**: Kleiner Perkins (led Series D), Sequoia Capital, AlleyCorp (led Seed), Company Ventures, BoxGroup, ScOp Ventures. [theorg.com](https://theorg.com/org/rogo) - **Growth Signals**: - **Headcount**: 104 employees (+234.7% YoY) [linkedin.com](https://www.linkedin.com/company/rogoai) - **Funding**: Raised a $160M Series D in April 2026 led by Kleiner Perkins, following a venture round from Sequoia Capital in October 2025. [theorg.com](https://theorg.com/org/rogo) - **User Base**: Over 50,000 bankers and investors using the platform, with 250+ institutions served and 35,000+ daily queries. [rogo.ai](https://rogo.ai/) - **Acquisitions**: Acquired Plux AI and Subset (September 2025) to bolster capabilities. [theorg.com](https://theorg.com/org/rogo) - **Global Expansion**: Operates in 5 countries (US, UK, Canada, Australia, Ireland). [linkedin.com](https://www.linkedin.com/company/rogoai) ## Competitive Advantages - **Domain Expertise**: Founded by ex-hedge fund analysts, ex-bankers, and ex-private equity investors who understand high-finance workflows intimately. [rogo.ai](https://rogo.ai/) - **Purpose-Built for Finance**: Unlike generic AI chatbots, Rogo’s model and platform are explicitly built for the nuance and complexity of financial services. - **Institutional-Grade Outputs**: Produces auditable Excel models, investment memos, and slide decks that meet the standards of top financial institutions. - **Enterprise-Grade Security**: Holds SOC2, CCPA, ISO 27001, GDPR, and EU AI Act compliance certifications. [rogo.ai](https://rogo.ai/) - **Bespoke Deployment**: Every deployment is custom, with a white-glove partnership model led by ex-finance professionals. ## Strategic Focus - **Current priorities**: Deepening integration with financial workflows, expanding global footprint (especially EMEA and APAC), and continuing to build the leading financial reasoning model. The company is aggressively hiring across all departments (49 active job postings) to scale its platform and team. [linkedin.com](https://www.linkedin.com/company/rogoai) - **Direction for growth**: Becoming the definitive AI partner for the world’s leading financial institutions, with a focus on enterprise-grade security, bespoke deployments, and expanding its agentic capabilities. ## Why Work Here - **Culture highlights**: Rogo is described as a mission-critical, high-ambition environment. The team is "unabashed about our ambition: to create the biggest financial AI company on earth." Employees are expected to work hard and contribute to redefining knowledge work with AI. [rogo.ai/careers](https://rogo.ai/careers) - **Remote/hybrid/office policy**: The company has a strong presence in New York City, with roles also listed in London, Singapore, and other global hubs. Many roles are location-specific (e.g., New York City, London, Singapore), suggesting a hybrid or in-office culture for most positions. - **Notable perks or engineering culture**: - **Rapid Growth**: Headcount grew 234.7% YoY, indicating a fast-scaling, dynamic environment. [linkedin.com](https://www.linkedin.com/company/rogoai) - **High Ambition**: The company is "unabashed about our ambition" and offers the chance to "exponentially accelerate your career." [rogo.ai/careers](https://rogo.ai/careers) - **Diverse Roles**: Actively hiring across Engineering, Product, Sales, Marketing, Operations, Security, and Design (49 active job postings). [linkedin.com](https://www.linkedin.com/company/rogoai) - **Global Team**: Opportunities to work in New York, London, Singapore, and other hubs. ## Sources 1. [rogo.ai](https://rogo.ai/) 2. [rogo.ai/careers](https://rogo.ai/careers) 3. [theorg.com](https://theorg.com/org/rogo) 4. [linkedin.com](https://www.linkedin.com/company/rogoai) 5. [rogodata.com/blog](https://www.rogodata.com/blog/announcing-our-seed-round/) ## Other roles at Rogo - [Deployment Associate, NYC](https://feeny.ai/job/deployment-associate-nyc-rogo-new-york-rgb48jztcztz) — New York, NY - [GTM Associate, NYC](https://feeny.ai/job/gtm-associate-nyc-rogo-new-york-4qd50bxfn18z) — New York, NY - [Client Strategy, Mid-Market (APAC)](https://feeny.ai/job/client-strategy-mid-market-apac-rogo-singapore-szhy6m939vev) — Singapore - [Customer Support Specialist, APAC](https://feeny.ai/job/customer-support-specialist-apac-rogo-singapore-4h8frz57myvq) — Singapore - [People Operations Manager](https://feeny.ai/job/people-operations-manager-rogo-london-dnha98m6k15k) — London, United Kingdom - [Senior Revenue Enablement Manager](https://feeny.ai/job/senior-revenue-enablement-manager-rogo-new-york-4bvmhqhfrw8w) — New York, NY - [Field Marketing Manager, Singapore](https://feeny.ai/job/field-marketing-manager-singapore-rogo-singapore-yqzqqat442af) — Singapore - [Security Engineer, Cloud](https://feeny.ai/job/security-engineer-cloud-rogo-new-york-312ng28z751h) — New York, NY - [Forward Deployed, Sales & Trading (EMEA)](https://feeny.ai/job/forward-deployed-sales-trading-emea-rogo-london-f8zqnxyccyej) — London, United Kingdom - [Senior Accountant](https://feeny.ai/job/senior-accountant-rogo-new-york-rext6ehaqsv9) — New York, NY