AI Analytics Engineer

About REP REP designs world-class, innovative gym equipment that is sold around the world, and we are now expanding into apparel, supplements, athletes, and events. REP was established in 2012 by two brothers who shared a deep passion for fitness. From our humble beginnings of selling bumper plates out of a small garage, REP has experienced remarkable growth, now occupying over 300,000+ square feet of office and distribution space in the USA and internationally. With a dedicated team of over 200+ fitness enthusiasts, our vision is to be the #1 Strength Brand in the World. Our commitment to innovation, customer service, and value sets us apart. We believe in building a culture centered around fitness, so we specialize in outfitting home gyms, commercial gyms, and strength and conditioning facilities. Our dedication to excellence has been recognized multiple times when we were featured in the Inc. 5000 fastest growing private companies in 2018 and 2021 and then voted the best home strength product launch in 2022 by Garage Gym Experiment. Our team works out together, and we regularly invite fitness superstars to join us. We organize fun challenges to test our limits - and the limits of our equipment. At REP, we continue to grow and bring new opportunities for those who want to be a part of a winning team. We firmly believe that being surrounded by like-minded individuals fuels creative energy and fosters a fun and collaborative work environment. This role is based in our state-of-the-art headquarters with a bright, spacious, shared workspace; scenic views of the Rocky Mountains; and a kitchen always stocked with healthy snacks, protein powder, and coffee. We offer a hybrid work environment with a minimum of three days in the office, but there's flexibility about which days and hours. Our Core Values • Think Like a Customer - We empathize with our customers; understand the 'why' behind every decision we make • Progress not Perfection - We don't let perfect get in the way of good; we are better today than we were yesterday • Positive Attitude - Be a glass half-full kind of person and remember to have fun • Teamwork without Ego - We put the team above ourselves; we only win together • Take Initiative - We drive momentum; if there is an opportunity to make us better, we want to hear it About This Role We have already decided to put AI in front of our data. This role decides whether we can trust what it says. REP's analytics direction is MCP-first: our internal agents, ChatDash (internally built, conversational BI platform), and Claude now query our Microsoft Fabric data platform and other sources directly. Agents are only as accurate as the definitions underneath them. In addition to building pipelines to model data from sources into Fabric, the AI-Native Analytics Engineer builds the semantic models and context layers that let both people and AI agents get accurate, grounded answers from REP's enterprise data. Where a traditional analytics engineer stops at clean models for dashboards, this role extends the work into the agentic control plane: the certified metric definitions, data skills, evaluation suites, and guardrails that AI depends on to query data and act without hallucinating. And you will do it the AI-native way — using AI coding assistants to take new data from bronze to gold, with generated tests and automated reconciliation, compressing work that traditionally took a data engineer, a QA tester, and rounds of business UAT into one seat. What AI cannot do is the judgment: the spec, the review, and the call on whether the answer is correct. That is the job. Just as important: at REP, the business builds first. Our end users create working versions of the analytics they need on their own — in Claude or directly in ChatDash — often before certified data or clear semantics exist for that domain. You will not be writing requirements documents and building from scratch. The requirements are the thing the business has already built and is already using. Where certified data and semantics exist, your job is to make sure they are readily accessible through Claude, ChatDash, and other development approaches, so people build on trusted ground from the start. Where they do not, your job is to take the working version and figure out how to get its data flowing systemically, with clear semantics and guardrails, without breaking what the business made. This is a senior individual contributor role with real ownership. You will own REP's metric definitions of record, develop data pipelines according to a medallion architecture, direct our external data engineering partner as the technical owner, and work alongside our AI Solutions Engineer — they build the agents and tools; you build the governed data those agents rely on. Essential Functions: Include the following. Other duties may be assigned. Business-Built Solutions (Harden) • Treat working versions built by business users in Claude and ChatDash