Financial Systems Consultant

We’re looking for an Financial Systems Consultant to join Limelight and operate at the intersection of finance, data, and product.

This is a customer-facing but execution-focused role, where you’ll work closely alongside Customer Success, Product, and Project teams to support implementations and ongoing customer success. You’ll play a critical role behind the scenes — ensuring data is accurate, models are scalable, and systems are set up correctly.
 

What You’ll Do

• Assist in translating customer requirements into technical setup and configuration 
• Help ensure smooth onboarding and ongoing customer success 
• Build and maintain business rules, calculations, and planning logic 
• Support integrations between Limelight and ERP/accounting systems (Sage Intacct, NetSuite, MS Dynamics, etc.) 
• Work with structured data (SQL / PostgreSQL) to validate, transform, and load data 
• Understand how data flows from source systems into Limelight and how it maps into the model 
• Ensure data is centralized, consistent, and aligned across systems 
• Experience working with connectors like Boomi, Datablend, Mulesoft, etc. 
• Ensure accuracy and integrity of financial and operational data 
• Troubleshoot discrepancies between source systems and Limelight 
• Support audibility and transparency in reporting 
• Resolve customer tickets related to data, and calculations 
• Diagnose and fix issues across models, integrations, and business logic 
• Provide timely, clear resolutions to customer challenges 
• Identify repeatable processes and opportunities for automation 
• Leverage AI and automation to reduce manual work and improve speed 
• Surface patterns across implementations to improve internal best practices 
• Take ownership of improving how data, models, and workflows are structured 

What You Bring

• Experience with FP&A, financial modeling, or finance systems 
• Strong understanding of budgeting, forecasting, and reporting processes 
• Experience with ERP/accounting systems (NetSuite, Sage, Dynamics, etc.) 
• Proficiency in SQL / PostgreSQL and working with structured data 
• Experience with data integrations or ETL processes 
• Strong analytical mindset — able to understand how data flows and connects across systems 
• Ability to identify inefficiencies and proactively improve processes 
• Familiarity or interest in AI, automation, or workflow optimization 
• Strong attention to detail and problem-solving skills 

Education

Bachelor’s Degree in Computer Science, Information Systems, Data Analytics or related field