Order-to-Cash Operations Analyst — Data-Driven Impact

highlineaftermarket; Lisle (IL); On-site; USD 75,000 - 95,000; Full time

Benefits offered by this job

Competitive compensation and benefits

Job summary

highlineaftermarket is seeking a Customer Operations Analyst in Lisle, IL to support analytics for acquisitions and customer integration, and to improve Order to Cash processes from order capture to fulfillment and invoicing.

The role collaborates with IT Data Analytics and Master Data to refine the enterprise O2C data model, ensuring accurate reporting and scalable growth across customer operations.

Qualifications

• Bachelor’s degree in a related field.
• 4+ years of experience in supply chain, customer operations, logistics, order management, data analytics, or business process analysis.
• Analytical mindset with proficiency in Excel, SQL, and data visualization tools.

Responsibilities

• Support analytics and project coordination for acquisitions, customer transitions, ERP migrations, and shipping-point changes.
• Analyze data across Order to Cash, including order capture, pricing, inventory, fulfillment, invoicing, credits, and collections.
• Develop reporting to provide visibility to order status by customer, account, ship-to, item, warehouse, carrier, and fulfillment path.
• Identify process bottlenecks, data issues, and root causes impacting customer experience or operational efficiency.
• Partner with IT Data Analytics and Master Data to define and refine the enterprise Order to Cash data model.

Skills

Analytical mindset

Excel

SQL

Data visualization

Communication skills

Education

Bachelor's degree in supply chain management, Logistics, Business Analytics, or related field

Tools

ERP platforms

EDI platforms

WMS

TMS

Python

Job description

highlineaftermarket is seeking a Customer Operations Analyst in Lisle, IL to support analytics for acquisitions and customer integration, and to improve Order to Cash processes from order capture to fulfillment and invoicing.

The role collaborates with IT Data Analytics and Master Data to refine the enterprise O2C data model, ensuring accurate reporting and scalable growth across customer operations.