Analytics Engineer

At Oscilar, we're building the most advanced AI Risk Decisioning™ Platform. Banks, fintechs, and digitally native organizations rely on us to manage their fraud, credit, and compliance risk with the power of AI. If you're passionate about solving complex problems and making the internet safer for everyone, this is your place https://oscilar.com/careers. ROLE OVERVIEW As an Analytics Engineer, you will be a foundational member of Oscilar’s GTM Ops & Strategy team, helping build the data foundation for scalable analytics across the organization. You will partner closely with stakeholders across Ops, Finance, and the GTM org, including Sales, Marketing, BDR, and Customer Success, to transform raw data into reliable metrics, reporting, and insights. You will be responsible for ensuring teams have access to accurate, trusted data that scales with the company’s growth. This role is ideal for someone who combines strong technical analytics fundamentals with deep AI fluency. You should be comfortable using Claude, LLMs, and AI agents to accelerate end-to-end analytics workflows, from requirements gathering and data modeling to analysis, dashboarding, documentation, QA, and automation. At the same time, you should have the technical judgment to read, write, debug, and validate code yourself, knowing where AI can move faster and where human review is essential. We are looking for someone who knows what best-in-class data and analytics infrastructure looks like, ideally from experience in a scaled, high-performing company, but who is also excited to build in a fast-moving startup environment. You should be nimble, hands-on, and opinionated about when to build versus buy, with the ability to build lightweight internal tools, workflows, and analytics products yourself when that is the fastest or highest-leverage path. KEY RESPONSIBILITIES - Understand stakeholder data needs across Ops, Finance, and the GTM org, including Sales, Marketing, BDR, and Customer Success, and translate