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# Finance Analytics Engineer, remote | 1061159

- **Company:** Revel IT
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Contract:** Temporary contract
- **Skills:** Amazon Web Services, Business Logic, Microsoft Azure, Software as a Service, Cloud Computing, Customer Data Management, Data Structures, Document-Oriented Databases, Netsuite, SQL Databases, Enterprise Data Management, Snowflake, Git, Databricks
- **Published:** July 26, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=1676ff0dd161d4a3

## About the Role

* 3-5 years in Finance with analytics focus
 * 3-5 years with financial systems (NetSuite, Adaptive, RevPro, or comparable)
 * SaaS industry experience, * SaaS industry experience
 * 3-5 years in Finance with analytics focus
 * 3-5 years with financial systems (NetSuite, Adaptive, RevPro, or comparable)
 * Experience with cloud platforms (AWS, GCP, or Azure)
 * Expert-level SQL, including data modeling
 * Experience with modern data stack tools (Databricks, Snowflake, dbt, Git, Sigma, or comparable)

## Description

Our client is migrating to a new CRM platform, a change that will significantly impact FP&A's data models. This Finance Analytics Engineer contract role will sit with FP&A to help migrate and rebuild approximately 150 existing data models to align with the new CRM's data structure and business logic. This is expected to be a 8 month engagement., * Become familiar with the ~150 existing FP&A data models built on the current CRM data structure

 * Re-map and rebuild data models, transformations, and business logic to align with the new CRM's schema and data model
 * Partner with FP&A stakeholders to validate that migrated models preserve existing reporting logic, calculations, and KPIs
 * Identify and resolve data discrepancies introduced by the CRM migration, working cross-functionally with IT Enterprise Data, FP&A and ITCS
 * Document data lineage, model logic, and migration decisions to support long-term maintainability
 * Provide regular status updates and risk flags to IT Enterprise Data and FP&A leadership throughout the engagement


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