Data Analytics Consultant

Limelight Software • Toronto, ON

1d

About The Position

We’re looking for a Data Analytics 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. Beyond execution, this role is about taking ownership and leveling up how we deliver — identifying patterns, automating repeatable work, and helping scale how Limelight is implemented across customers.

Requirements

• Experience with FP&A, financial modeling, or finance systems
• Strong understanding of budgeting, forecasting, and reporting processes
• Experience with ERP/accounting systems (Oracle NetSuite, Sage Intacct, Microsoft 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

Responsibilities

• 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
• 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 This Job Offers

• Job Type: Full-time
• Career Level: Mid Level