Recently postedRemoteFinance

Finance Data Modeler

AIT Global, Inc.United States🇺🇸United States

Quick overview

SeniorityMid Senior

Work modeRemote

LocationUnited States

Job description

Job Title: Finance Data Modeler
Location: Remote

Job Summary:

We are seeking an experienced Finance Data Modeler to support the FinSight 2.0 initiative. The ideal candidate will design, develop, and maintain scalable enterprise data models supporting financial analytics, reporting, operational applications, and data-integration initiatives.

This role requires close collaboration with business stakeholders, data architects, data engineers, analysts, and application teams to translate business and finance requirements into well-defined conceptual, logical, and physical data models.

Key Responsibilities:

Design conceptual, logical, and physical data models for finance-related systems and analytics.
Translate complex business requirements into scalable data structures and modeling solutions.
Develop and maintain data dictionaries, metadata, naming standards, and model documentation.
Support enterprise reporting, analytics, operational applications, and data-integration programs.
Collaborate with finance stakeholders, data architects, engineers, analysts, and application teams.
Identify relationships, dependencies, data-quality issues, and opportunities for model optimization.
Ensure models comply with enterprise architecture, governance, security, and data-management standards.
Review existing models and recommend improvements for scalability, performance, and maintainability.
Support source-to-target mapping and integration across financial systems and data platforms.

Required Qualifications:

Significant experience in enterprise data modeling, preferably within finance or financial analytics.
Strong knowledge of conceptual, logical, and physical data-modeling techniques.
Experience supporting large-scale analytics, reporting, data warehousing, and integration initiatives.
Understanding of financial data, business processes, and reporting requirements.
Proficiency with commonly used data-modeling tools and relational database technologies.
Strong SQL knowledge and familiarity with modern data platforms.
Excellent communication, documentation, and stakeholder-management skills.
Ability to work independently in a remote consulting environment.
Availability to support Pacific Time business hours.