About this opportunity
The Action Company lists this Analytics Application Engineer opportunity in madison, Wisconsin. Review the employer’s description below for duties, qualifications and application requirements.
Job description
The Action Company is seeking an Analytics Application Engineer to help transform AI-driven analytics prototypes into scalable, production-ready applications. This role combines front-end React engineering, conversational analytics, Snowflake integration, and application engineering within a sophisticated Enterprise ecosystem.
You will collaborate closely with data scientists and UX specialists to build guided analytics experiences that blend traditional reporting with modern AI-driven interaction patterns.
Job Description Company Action Co. is a data consultancy that partners with leading organizations to design, build, and operationalize data systems that drive clarity and performance. We specialize in data engineering, analytics, visualization, and automation, helping teams move from fragmented reporting to integrated, decision-ready systems. Our work sits at the intersection of business strategy and technical execution, enabling organizations to scale with precision. We operate as a tight, high-ownership team, partnering directly with stakeholders to deliver sustainable, high-impact outcomes.
Role Action Co. is seeking an Analytics Application Engineer to help transform AI-driven analytics prototypes into scalable, production-ready applications. This role combines front-end React engineering, conversational analytics, Snowflake integration, and application engineering within a sophisticated Enterprise ecosystem.
You will collaborate closely with data scientists and UX specialists to build guided analytics experiences that blend traditional reporting with modern AI-driven interaction patterns.
Responsibilities Application Engineering Turn prototyped analytics apps into scalable enterprise applications
Build React-based guided analytics and conversational workflows
Improve performance, reliability, and maintainability
Convert “vibe-coded” prototypes into maintainable, reusable systems
Support deployment workflows using CI/CD and containers
Conversational Front-End Development Build React interfaces for guided and conversational analytics
Partner with UX/UI consultants to implement reusable design systems
Support exploratory analytics workflows beyond canned reporting
Help design and implement AI agent workflows
Data and Platform Integration Integrate React apps with Snowflake analytics workflows
Deploy applications within the Rapid Apps environment
Build scalable patterns reusable across analytics domains
Cross-Functional Collaboration Partner with data scientists to engineer production-ready analytics applications
Refine solutions through iterative stakeholder feedback
Contribute reusable engineering and UX design patterns
Work effectively in fast-moving AI analytics environments
Must Have Experience Strong React engineering
Snowflake data back-end
LLM-enabled conversational analytics apps
Able to engineer scalable and repeatable solutions
In Short A highly-technical, client-facing engineer, able to turn LLM-enabled guided analytics applications into enterprise-grade solutions built on React, Snowflake, and conversational analytics workflows for enterprise environments.
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.