Order Management Data and Analytics Lead

Rolls-RoyceMankato, MN
Onsite

About The Position

The Senior Order Management Data and Analytics Lead drives key analytical activity across the Order-to-Cash lifecycle, ensuring data integrity and supporting net working capital performance in a dynamic market environment. The role advances data quality, integrates insights across SAP and related business systems, and delivers high-quality reporting for senior leadership. Through close cross-functional collaboration, this position supports operational excellence, compliance, process improvement, monthly cash planning, global data harmonization, and accurate data management across customer portals.

Requirements

  • Applicants must be authorized to work for any employer in the U.S without sponsorship.
  • Bachelor’s degree and 3 years of supply chain / business experience, or 7 years of supply chain / business experience
  • Experience working with ERP systems such as SAP in a supply chain or business environment.

Nice To Haves

  • MBA is preferred.
  • Prior experience in large equipment or genset manufacturing.

Responsibilities

  • Manage analytic tasks across the Order-to-Cash process, ensuring data availability and accuracy to support revenue, cash, and inventory targets in a dynamic market.
  • Drive data collection, processing, and quality initiatives, overseeing integration with SAP and other business tools for actionable insights.
  • Prepare professional presentations and management reports, using historical data to identify trends and inform proactive business decisions.
  • Collaborate cross-functionally on order planning, revenue recognition, and receivables to enhance data consistency and operational efficiency.
  • Refine order execution processes and controls, ensuring compliance with internal standards and supporting continuous improvement and business excellence initiatives.
  • Support monthly cash planning, accurate data entries in customer portals, and global harmonization practices through expert knowledge in data analytics.

Benefits

  • base pay
  • discretionary bonus plan
  • health, dental, vision, disability, life and accidental death & dismemberment insurance
  • a flexible spending account
  • a health savings account
  • a 401(k) retirement savings plan with a company match
  • Employee Assistance Program
  • Paid Time Off
  • certain paid holidays
  • paid parental and family care leave
  • tuition reimbursement
  • a long-term incentive plan
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