Analytics Application Engineer

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.

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.

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.

• 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

• 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

• Integrate React apps with Snowflake analytics workflows
• Deploy applications within the Rapid Apps environment
• Build scalable patterns reusable across analytics domains

• 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

• Strong React engineering
• Snowflake data back-end
• LLM-enabled conversational analytics apps
• Able to engineer scalable and repeatable solutions
  

Ahighly-technical, client-facingengineer, able to turn LLM-enabled guided analytics applications into enterprise-grade solutions built on React, Snowflake, and conversational analytics workflows for enterprise environments.