About the Role
We’re looking for a Senior 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.
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
qbrtQ9h0cB
