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At Retail Insight (RI), we transform data into actionable strategies, empowering retailers and CPGs to make smarter decisions. Our cutting-edge algorithms and innovative retail execution products are trusted by many of the world’s leading companies to improve sales, profitability, and operational efficiency. From tackling out-of-stocks and poor in-store execution to reducing waste, markdowns, and shrink, RI helps businesses unlock performance drivers through advanced analytics. About the role: We’re looking for someone who is curious, creative, and technically sharp to step into a new role as an AI Applications Analyst to help us build the next generation of internal tools. This is a hands-on role where you’ll blend Python development, AI integration, and product thinking to design smart, scalable solutions that make work easier, faster, and more insightful for teams across the business. If you’ve ever wanted to build apps that feel magical to use — this is your chance.
Job Responsibility:
Build AI-powered tools that help teams access insights, automate workflows, and interact with data in natural language
Use frameworks like Streamlit, Chainlit, and Google ADK to create apps that combine data, visualisation, and AI in user-friendly interfaces
Integrate Retrieval-Augmented Generation (RAG) and intelligent agents to deliver smarter, context-aware outputs
Develop self-serve analytics tools so teams can answer their own business questions without heavy analyst support
Automate recurring insight workflows using SQL, dbt, and embedded analytics
Monitor, refine, and improve AI performance through structured feedback loops, robust logging, and prompt optimisation
Collaborate with product, engineering, analytics, and operations partners to identify high-impact use cases and turn them into tools people love to use
Requirements:
Excellent SQL skills and knowledge of relational data models
Experience building or supporting internal tools or dashboards (Streamlit, Power BI, Tableau, etc.)
Familiarity with concepts in machine learning, LLMs, or conversational interfaces
Clear communicator, able to work across teams
Naturally curious, quick to learn new tools and tech
Nice to have:
Python scripting or app development experience
Hands-on with Streamlit, Chainlit, or similar frameworks
Knowledge of Google ADK, Vertex AI, or LLM orchestration
Understanding of RAG pipelines and agent workflows
Experience with dbt, LookML, or modular data modelling
Track record of building self-serve analytics tools or automating insights
What we offer:
Hybrid & Flexible Working
Summer hours
Extra days off for life's big moments (including your birthday and wedding)
26 days PTO (increasing with service)
Paid volunteer days
Mental health resources
Access to a top-tier learning platform
Career progression plans
Support to create your ideal home workspace
Comprehensive medical, dental, and vision coverage