Senior Data / Analytics Engineer

At Ryz Labs , we’re looking for a hands-on Senior Data Engineer / Analytics Engineer to own and evolve one of our clients’ data platforms, reporting layer, and AI-driven data capabilities. You’ll report directly to the Head of Data & Analytics and operate as a high-impact individual contributor across finance, operations, merchandising, marketing, and product. This is a builder role, not a people manager role. You’ll be expected to move quickly, work scrappily, and take ownership from problem definition through implementation. This role is ideal for someone who thrives in a startup or scale-up environment, where speed, iteration, and pragmatism matter more than perfection. What You’ll Do • Own and evolve data architecture across ingestion, transformation, and reporting layers, with a centralized cloud data warehouse. • Build and maintain scalable data pipelines across a variety of internal and external data sources, ensuring reliability, completeness, and accuracy. • Develop robust validation frameworks to monitor data quality and quickly identify issues. • Write and optimize complex SQL to power analytics, reporting, and business decision-making. • Design and maintain data models that support financial reporting, operational analytics, and merchandising insights. • Partner closely with Finance to ensure accurate, reconcilable reporting across revenue, costs, and unit economics. • Build and maintain dashboards and reporting used by leadership to drive decisions across the company. • Identify and resolve data issues quickly, balancing speed and accuracy in a fast-moving environment. • Support integrations between core business systems and ensure clean, consistent data across platforms. • Explore and implement AI-driven workflows that enhance data accessibility and decision-making. • Automate manual reporting processes and improve operational efficiency across teams. • Act as a cross-functional partner, translating ambiguous business questions into clear, actionable i