Senior Analytics Engineer

Join Axon and be a Force for Good.

At Axon were on a mission to Protect Life. Were explorers pursuing societys 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 youll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.

Your Impact

This is a Senior Analytics Engineering role focused on Product Analytics. You will define and build the analytics architecture that helps us understand how our products are used across Axons ecosystem. This includes designing scalable data models event schemas and semantic layers that turn complex event-driven data into trusted business-ready datasets. You will own the analytical layer end-to-end from instrumentation standards and modeling to metric definitions and governance ensuring product data is reliable intuitive and easy to use.

Your work will enable data scientists analysts product managers and engineers to understand product adoption shape strategy and improve user experiences. A core part of the role is leading our data visualization strategy: designing and maintaining scalable dashboards and reporting frameworks that support self-serve analytics without sacrificing metric consistency or trust. You will define visualization standards and best practices so insights are clear aligned and decision-oriented.

At this stage of the company the challenge is building analytics systems that are both scalable and simple. You will establish common interfaces shared event schemas and practical guardrails that make it straightforward for engineering teams to instrument products correctly and for stakeholders to quickly get value from the data. This means striking the right balance between standardization and flexibility as we grow.

Success in this role requires strong architectural judgment. Youll make early decisions in data modeling metric design and instrumentation that prevent fragmentation and analytical debt later. You must be comfortable balancing speed with long-term scalability in a fast-growing environment and confident partnering directly with software and hardware engineers to influence instrumentation choices that support durable business-aligned analytics.

Location: Seattle Axon office Tuesday through Friday
Reports to: Principal Product Manager Product Analytics
What Youll Do

Analytics Architecture & Foundations
Set the direction for our analytics layer including modeling patterns semantic layer standards and shared metric definitions. Ensure product telemetry flows into clean well-structured datasets that teams can trust and use confidently. Establish scalable conventions that reduce ambiguity and prevent metric drift as the organization grows.

Event Strategy & Instrumentation
Partner closely with product managers and engineering teams to define and maintain a scalable event tracking framework and source of truth event schema. Establish clear taxonomies naming conventions user properties and key product events required to measure adoption and product health. Promote right the first time instrumentation by working directly with frontend and backend engineers to reduce downstream rework.

Data Modeling & Visualization
Build and maintain well-tested data models that transform raw telemetry into intuitive business-aligned datasets. Design build and iterate on high-impact dashboards and reporting frameworks that power product decision-making experimentation analysis and executive visibility. Define and evolve visualization standards to enable self-serve analytics while preserving clarity consistency and trust in the numbers.

Operational Rigor & Governance
Establish data quality standards testing practices documentation norms and service expectations for Product Analytics. Define how we measure the health and effectiveness of our analytics systems. Reduce reliance on tribal knowledge by creating clear discoverable documentation and scalable processes that support future growth and compliance needs.

What You Bring

Basic Qualifications

• Bachelors degree in Computer Science Engineering Analytics or a related technical field (or equivalent practical experience).
• 6 years of experience in analytics engineering data engineering or a related role with strong exposure to product analytics.
• Advanced SQL skills and deep experience building and maintaining production-grade data models in a modern cloud data warehouse (e.g. Snowflake BigQuery Redshift).
• Proven experience using transformation frameworks such as dbt (or similar) to build tested version-controlled analytics layers.
• Hands-on experience designing and building dashboards in modern BI tools (e.g. Looker Tableau Sigma Power BI etc.).
• Experience defining metric frameworks shared definitions and semantic layers that enable consistent self-serve analytics.
• Strong understanding of event-driven data product telemetry and instrumentation best practices.
• Experience implementing data quality checks testing frameworks and documentation standards to support a trusted single source of truth.
• Strong communication skills with the ability to partner effectively with product managers engineers analysts and leadership.
• A collaborative team-first mindset with a desire to raise the bar for analytics quality and clarity.

Preferred Qualifications

• Experience partnering closely with engineering teams on event schema design and instrumentation standards.
• Experience supporting product experimentation frameworks (A/B testing feature flags adoption metrics).
• Working knowledge of Python for analytical workflows or data validation.
• Familiarity with orchestration tools (Airflow Dagster etc.) and ingestion tooling (Fivetran etc.).
• Experience operating in fast-paced high-growth environments with a high degree of ownership.
• Passion for public safety social impact or building products that make a difference.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical Dental Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• Employee Resource Groups (ERGs)
• And yes we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

The Pay: Axon is a total compensation company meaning compensation is made up of base pay bonus and stock awards. The starting base pay for this role is between USD 134250 in the lowest geographic market and USD 214800 in the highest geographic market. The actual base pay is dependent upon many factors such as: level function training transferable skills work experience business needs geographic market and often a combination of all these factors. Our benefits offer an array of options to help support you physically financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit is a total compensation company meaning compensation is made up of base pay bonus and stock awards. The actual base pay is dependent upon many factors such as: level function training transferable skills work experience business needs geographic market and often a combination of all these factors. Our benefits offer an array of options to help support you physically financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit Pay Range

$134250 - $214800 USD