The future of analytics isn't dashboards. It's intelligent systems that anticipate questions, surface insights, and help people make better decisions
We're looking for a Senior Analytics Engineer to help build that future at Pearl. In this role, you'll design and develop AI-powered analytics experiences that combine trusted enterprise data with modern AI capabilities, enabling business users to interact with data conversationally and uncover insights faster than ever before
You'll build production AI agents, create scalable semantic data models, develop intelligent analytics applications, and establish best practices for responsible AI across the Analytics organization. Working closely with Product, Engineering, and business leaders, you'll turn emerging AI technologies into real business capabilities that improve decision making across the company
This is an opportunity to help define how AI transforms analytics at Pearl while working on some of the most exciting technologies in data, LLMs, and agentic AI
Build proactive analytics and AI solutions that surface actionable business insights, anticipate business needs, and enable smarter decision-making
Design and develop AI-powered analytics tools, including conversational interfaces that allow business users to query data using natural language
Build semantic data models and reusable analytics products that optimize enterprise data for AI applications and large language model reasoning
Design, develop, and deploy LLM-powered applications, AI agents, and agentic workflows using modern AI frameworks, Retrieval-Augmented Generation (RAG), and Model Context Protocol (MCP)
Partner cross-functionally with Product, Engineering, and business stakeholders to identify opportunities where AI agents and intelligent automation can solve real business problems
Build scalable enterprise analytics solutions by integrating cloud data platforms, semantic models, and modern AI technologies
Develop robust data pipelines, APIs, and backend services using Python and SQL to support production-ready AI and analytics solutions
Identify, evaluate, and implement AI, machine learning, and advanced analytics use cases that deliver measurable business value
Drive intelligent automation initiatives that improve operational efficiency, reduce manual effort, and streamline business processes
Continuously evaluate, test, and optimize AI models, prompts, and intelligent solutions to improve reliability, accuracy, and business outcomes
Serve as an Analytics AI Subject Matter Expert (SME), mentoring team members on AI application development, prompt engineering, agent development, AI evaluation, and Responsible AI practices
Evaluate emerging AI technologies and recommend opportunities to expand AI capabilities and accelerate innovation across the organization