Data & AI Analyst

About the Company

Moab is building a modern, all-in-one software platform for equipment dealers & rental businesses. We are a small team of energetic, dedicated, and passionate individuals focused on replacing antiquated incumbent software with a new system-of-record for the construction, agriculture, and logistics industries.

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 by mapping, transforming, validating, and loading data using Python SDK and API.
• Design and maintain a library of Python scripts and reusable transformation utilities to make onboarding scalable.
• Define and enforce standards for data migrations, including canonical schemas and QA practices.
• Build and maintain reporting and BI solutions using Power BI and SQL-based dashboards for internal and customer visibility.
• Partner with Engineering and Business Operations to resolve data quality issues and enhance internal workflows.

Requirements

• 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.
• Understanding of data modeling, data transformation, and ETL concepts.
• Experience with Power BI or similar BI tools.
• Proficiency with Git/GitHub and team-based code collaboration.
• High attention to detail and a proactive, ownership-driven mindset.

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 vendors like Fivetran.
• Interest in building standardization and automation for scaling data processes.