Analytics Engineer

1 big thing: Axios is a growth-focused media company dedicated to helping people get smarter, faster on what matters. As we continue to scale, data plays a critical role in how we drive that mission forward. Why it matters: As an Analytics Engineer at Axios, you’ll serve as the primary interface for delivering insights to the business. You’ll design and maintain the curated layers of our data platform (Silver and Gold), and also own the dashboards and visualizations that translate those data products into actionable insights. By combining engineering rigor with business context and storytelling, you’ll ensure decision-making is faster, clearer, and aligned with Axios’ mission. In partnership with data engineers, data scientists, and product managers, you’ll transform raw and complex source data into well-structured data products, certified dashboards, and compelling visualizations that underpin reporting, experimentation, and advanced analytics. Responsibilities: Own the Gold layer of the medallion architecture: define, version, and maintain business metrics and semantic models. Build and maintain executive dashboards and visualizations that communicate key insights effectively. Define and enforce best practices for data visualization, storytelling, and stakeholder adoption. Build and maintain data marts and semantic layers that serve multiple domains across Axios. Review and certify dashboards for accuracy, consistency, and adherence to standards. Collaborate with data engineering to ensure Silver layer tables meet business needs. Implement data quality tests, documentation, and lineage tracking to ensure trust in analytics outputs. Serve as a bridge to data science, ensuring feature stores and model outputs are well-documented and reusable. Contribute to the hub-and-spoke model: rotate through responsibilities such as intake, quality assurance, and participation in the analytics hub, while serving as a strategic partner to stakeholders, helping them shape the righ