Data & AI Analyst

Job description

**About Moab** Moab is building a modern, all-in-one software platform for equipment dealers & rental businesses. The equipment dealer & rental market is a key part of the multi-trillion dollar construction, agriculture, and logistics industries, and is currently underserved by antiquated incumbent software solutions (most of which were founded in the 1980's and 1990's). Our vision is to connect everyone who is selling, buying, renting, servicing, or utilizing equipment, starting with a new system-of-record for equipment rental businesses that will help our customers create efficiency in the back office and generate more revenue in the front office. We're a small team of energetic, dedicated, and passionate individuals. We value team members that can not only roll up their sleeves to do hands-on work, but also think clearly & creatively about the big picture. We seek new team members who are eager to dive in and collaborate with the rest of the team to drive impact for our customers and for the business. At Moab, you'll find significant room for career growth, fostered by a meritocratic culture that prioritizes individual and team development. **About the Role** The Data & AI Analyst (Operations) will be a core member of the Business Operations team, sitting at the intersection of customer implementation, internal tooling, and data operations. This is a hands-on, technical role that blends data work with product-like ownership of the internal tools and workflows that power Moab's operations. You'll manage customer data migrations from SMB to enterprise using Moab's Python SDK and API. You'll maintain and extend the AI-powered internal tooling our team relies on daily for operations and customer enablement. And you'll build out reporting and BI capabilities that give both our team and our customers visibility into what matters. If you like variety, working across the stack, and having real ownership over the systems that make a business run, this role is for you. **What You'll Do** - Maintain, improve, and build new internal tools (including AI-powered tooling) used across operations and customer enablement. - Own customer data migrations end-to-end: map, transform, validate, and load data into Moab's schema using our Python SDK and API, supporting everything from mid-market implementations to bespoke enterprise engagements. - Design and maintain a library of Python scripts and reusable transformation utilities that make customer onboarding repeatable and scalable. - Define and enforce standards for data migrations (canonical schemas, QA practices, and documentation). - Build and maintain reporting and BI solutions (Power BI, SQL-based dashboards) for internal stakeholders and customers, covering implementation progress, data health, and operational metrics. - Partner with Engineering and Business Operations to resolve data quality issues, enhance the SDK, and improve internal workflows. - Contribute to process documentation, internal libraries, and cross-functional enablement resources. **What You Need** If you don't think you meet all of the criteria below but are excited about the role, please apply. Nobody checks every box; we're looking for someone who's eager to learn and grow with us. - 0–5+ years of experience in a data analyst, implementation analyst, or technical operations role. - Strong proficiency in Python and SQL; experience working with APIs and SDKs. - Comfort maintaining and iterating on internal tools and automation. You don't just write scripts, you think about how to make them better over time. - Understanding of data modeling, data transformation, and ETL concepts. - Experience with Power BI (or similar BI tools), or the ability to learn quickly. - Comfort working in Git/GitHub and collaborating on code in a team environment. - Excellent communication skills and a high attention to detail. - A proactive, ownership-driven mindset; able to balance speed and precision in a fast-paced environment. **Nice to Haves** - Experience with customer data migrations or data integrations in a SaaS environment. - Familiarity with AI/LLM-based tooling or workflow automation. - Ability to own ETL / data pipelines using existing vendors (e.g., Fivetran). - Interest in building standardization and automation for scaling data processes. **Why Moab** - Be part of a small, high-impact team shaping the foundation of Moab's data and tooling operations. - Work with modern tools — including AI-powered internal systems — alongside an experienced, fast-moving startup team. - Significant career growth opportunities in a high-visibility, cross-functional role. - Competitive compensation, equity, and benefits.