Financial Systems Consultant

Limelight Software

$70K — $95K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in FP&A, financial modeling, or financial systems
  • Strong grasp of budgeting, forecasting, and reporting processes
  • Familiarity with ERP/accounting systems like NetSuite, Sage, and Dynamics
  • Proficiency in SQL/PostgreSQL for handling structured data
  • Hands-on experience with data integrations or ETL processes
  • Analytical mindset to trace data flow and connections
  • Attention to detail, strong problem-solving capabilities

Responsibilities

  • Translate customer requirements into technical setups
  • Facilitate smooth onboarding and ensure ongoing success
  • Build and manage business rules, calculations, and planning logic
  • Support integrations with ERP/accounting systems (e.g., Sage Intacct, NetSuite, MS Dynamics)
  • Work with structured data to validate, transform, and load
  • Ensure centralized and consistent data across systems
  • Troubleshoot discrepancies and support audibility in reporting
  • Identify process improvement opportunities and automate where possible

Benefits

  • Collaborative work environment with cross-departmental cooperation
  • Opportunities to leverage AI and automation in processes
  • Focused role that bridges customer interaction and back-end execution
  • Possibility to identify and surface best practices through multiple implementations
  • Ownership of projects that enhance data accuracy and workflow efficiency
Full Job Description
We're looking for an Financial SystemsConsultant 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

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