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:
CompanyAction 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. RoleAction 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 systemsSupport 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 systemsSupport 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-endLLM-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.
