Sr Data Analyst I (Onsite)

<div class="content-intro"><h4><strong>Join Axon and be a Force for Good.</strong></h4> <p>At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other.<br><br>Life at Axon is fast-paced, challenging and meaningful. Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.</p></div><div><strong>Your Impact</strong></div> <div><br>As a Senior Data Analyst on Axon’s Operations Business Accelerators team, you will own the data architecture and pipelines that support Global Manufacturing Operations, including Manufacturing, Quality, Logistics, and Supply Chain. In this hands-on individual contributor role, you’ll bridge the gap between Axon’s foundational Corporate Data Platform and the domain-specific data needs of Operations.&nbsp;You’ll transform complex operational data from dozens of source systems into trusted, well-governed assets that power reporting, decision-making, automation, and AI-driven analytics. This is an opportunity to build high-impact data infrastructure in a global operations environment where data quality, scalability, and speed directly influence how Axon manufactures, moves, and supports mission-critical products.<br><br><strong>What You’ll Do</strong><br>Location: Onsite at our HQ in Scottsdale, AZ office 4 days a week<br>Reports to: Senior Director, Operations Business Accelerators<br>Direct Reports: None — this is an individual contributor role</div> <ul> <li>Own and manage Operations data architecture withinSnowflake, including silver/core and gold/mart layer tables that serve as the foundation for Operations analytics and reporting.</li> <li>Design, build, and maintain custom data ingestion pipelines for source systems not covered by Corporate Data Engineering, including on-premise applications, manufacturing automation databases, and third-party APIs.</li> <li>UseAzure Data Factory, Azure Functions, Blob Storage, Azure SQL, incremental API extraction patterns, and Parquet-based staging to support scalable and reliable data ingestion.</li> <li>Partner with Corporate Data Engineering, Enterprise IT Architecture, automation developers, and Operations stakeholders to align on platform patterns, governance standards, and architecture best practices.</li> <li>Close source-system coverage gaps across high-volume environments, including automation equipment and production lines that generate billions of rows of operational data.</li> <li>Develop data models