Revel IT

Finance Analytics Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Finance Analytics Engineer for an 8-month contract, offering a competitive pay rate. Key skills include SaaS experience, 3-5 years in finance analytics, expert SQL, and proficiency with cloud platforms and modern data stack tools.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 5, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Columbus, OH
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🧠 - Skills detailed
#CRM (Customer Relationship Management) #GCP (Google Cloud Platform) #GIT #Snowflake #Cloud #Azure #Databricks #dbt (data build tool) #Data Modeling #SaaS (Software as a Service) #SQL (Structured Query Language) #AWS (Amazon Web Services) #Data Lineage #Migration #"ETL (Extract #Transform #Load)" #Leadership
Role description
Our client is migrating to a new CRM platform, a change that will significantly impact FP&A’s data models. This 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. Responsibilities: • 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 Requirements: • 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)