Senior Analytics Engineer, Product

PlayOn is the largest platform for high school sports in the US, reaching millions of fans, parents, coaches, and student athletes across NFHS Network, MaxPreps, and GoFan. This role sits on the Video product team, reporting to the Senior Director of Product, and is the data engine behind it: the person who turns raw event, viewership, and subscription data into the models, metrics, and data products the rest of the team builds on. We move fast and decide with data, but too much of that data still lives in one-off queries and tribal knowledge. We need someone who sits within the product team and partners closely with the central Data Platform team - adopting and upholding their standards and practices while building transformation layers and models the platform can adopt for broader use. It's a two-way street: you build to shared standards, and the logic you codify gets reused beyond your team. The ideal candidate is a builder. You're energized by creating scalable data products, partnering closely with product and engineering teams, and transforming complex datasets into systems that drive better decisions. You enjoy working through ambiguity, balancing technical rigor with speed, and building solutions that become foundational assets across the organization. The outcomes you'll deliver Trusted product data foundation: Build reusable data models, transformation layers, and pipelines that become the reliable source of truth for the Video product team while adhering to shared Data Platform standards. Scalable experimentation framework: Establish the data and analysis infrastructure that enables teams to run, measure, and iterate on A/B tests consistently and efficiently. Production-ready data products: Deliver APIs, dashboards, and data products that power customer-facing experiences and provide stakeholders with trusted metrics for decision making. Reliable product instrumentation: Ensure event tracking, data contracts, testing, and monitoring are in place so product behavior is captured accurately and remains trustworthy over time. Predictive insights that drive growth: Develop predictive and causal models that improve forecasting, retention, pricing, and product strategy.