Sr Data Analyst ; Onsite Scottsdale, Arizona, Scottsdale, Arizona

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.

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.

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. 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.

Location:

Onsite at our HQ in Scottsdale, AZ (4 days a week)

Reports to:

Senior Director, Operations Business Accelerators

Direct Reports:
None — this is an individual contributor role

• Own and manage Operations data architecture within Snowflake, including silver/core and gold/mart layer tables that serve as the foundation for Operations analytics and reporting.
• 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.
• Use Azure Data Factory, Azure Functions, Blob Storage, Azure SQL, incremental API extraction patterns, and Parquet‑based staging to support scalable and reliable data ingestion.
• Partner with Corporate Data Engineering, Enterprise IT Architecture, automation developers, and Operations stakeholders to align on platform patterns, governance standards, and architecture best practices.
• Close source‑system coverage gaps across high‑volume environments, including automation equipment and production lines that generate billions of rows of operational data.
• Develop data models that consolidate dozens of source tables into unified, analytics‑ready datasets for Manufacturing, Quality, Logistics, and Supply Chain.
• Prototype transformation logic in Alteryx, then convert finalized logic into Snowflake SQL using dbt models and YAML schema contracts aligned to Axon’s medallion architecture.
• Manage the full development lifecycle for Operations data assets, including dbt model development, testing, documentation, pull requests, code reviews, and deployment coordination.
• Build a deep understanding of source‑system relationships across ERP, manufacturing execution systems, quality platforms, and supply chain tools, and translate that knowledge into clean, well‑documented data flows.
• Build and maintain data infrastructure that supports AI, machine learning, advanced analytics, automation solutions, and AI agents.
• Support automation developers by providing reliable, well‑modeled data assets and collaborating on solutions that combine data pipelines with business process automation.
• Mentor junior analysts and business data users, helping build data literacy and technical capability across Global Operations.

• Bachelor’s degree in Data Analytics, Computer Science, Engineering, Information Systems, Statistics, another quantitative field, or equivalent practical experience.
• 5+ years of hands‑on experience in data analysis, analytics engineering, or data engineering roles, with increasing responsibility for end‑to‑end data pipeline ownership.
• Advanced SQL proficiency, with demonstrated ability to write, optimise, and troubleshoot complex queries across large‑scale datasets in cloud data warehouses;
  Snowflake…