Data & AI Analyst at Moab in New York, NY

Summary: Moab is building a modern, all-in-one software platform for equipment dealers & rental businesses. The Data & AI Analyst (Operations) will be a core member of the Business Operations team, responsible for managing customer data migrations, improving internal tools, and building reporting capabilities. Responsibilities: - 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 Required Qualifications: - 0–2+ 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 - 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 Preferred Qualifications: - 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 Required Skills: Python, SQL, Data migration Important Skills: Power BI, APIs, SDKs Nice-to-Have Skills: Data modeling, ETL concepts, Git/GitHub, Ownership mindset Benefits: Equity, Benefits