Job Description & How to Apply Below
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, Net Suite, 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 (Net Suite, 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
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