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Data Analyst - Implementation

Moab

Salary not specified
Oct 31, 2025
New York, NY, USA
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Moab is building a modern, all-in-one software platform for equipment dealers & rental businesses. The equipment dealer & rental market is currently underserved by antiquated incumbent software solutions. Moab's 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.

Requirements

  • 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 the ability to learn it quickly.
  • Comfort working in Git/GitHub and collaborating on code in a team environment.
  • Ability to own ETL / data pipelines using existing vendors (e.g., Fivetran)
  • Interest in building standardization and automation for scaling data processes.

Responsibilities

  • Design, document, and maintain a library of Python scripts that use Moab’s SDK/API to transform, load, and validate customer data.
  • Build repeatable data ingestion and transformation workflows for SMB and mid-market customers, and manage more bespoke pipelines for enterprise implementations.
  • Define and enforce standards for customer data migrations, developing canonical schemas, transformation utilities, and QA practices.
  • Partner with internal teams to identify and resolve data quality issues during migrations and live customer operations.
  • Develop and maintain internal and customer-facing Power BI dashboards and SQL-based reporting to monitor implementation progress and customer data health.
  • Collaborate with Moab’s Engineering team to enhance the SDK and internal tooling as needed.
  • Contribute to process documentation, internal libraries, and cross-functional enablement resources.

Other

  • 0–2+ years of experience in a data analyst, data engineer, or implementation analyst role.
  • 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.
  • Experience with customer data migrations or data integrations in a SaaS environment.
  • Be part of a small, high-impact team shaping the foundation of Moab’s data operations.