Senior Process & Data Analytics Lead (IBP, Hybrid)

Wolverine World Wide, Inc. (United States); Rockford (IL); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Hybrid work schedule

Job summary

Wolverine Worldwide, Inc. is seeking a Senior Analyst, Process & Data Analytics to own planning reporting and analytics across demand, supply, inventory, and executive planning.

You will translate business needs into scalable dashboards and tools while ensuring accuracy, documentation, and adoption by global teams. The role partners with Planning, IT, Master Data, and stakeholders to drive data quality and process improvements, including UAT and deployment.

Qualifications

• Bachelor’s degree; MBA or advanced degree preferred.
• Experience with planning systems and ERP knowledge is advantageous.
• Experience with IBP, MRP, and advanced analytics for planning.

Responsibilities

• Identify reporting requirements and system enhancements with stakeholders.
• Build reports and dashboards using enterprise semantic models.
• Analyze large datasets to identify trends, risks, opportunities, and insights.
• Own planning reporting solutions and ensure ongoing maintenance and adoption.
• Lead UAT, validation, and deployment for planning tool changes.
• Investigate data quality issues and coordinate fixes with IT and Master Data teams.
• Document reporting definitions and provide training materials.
• Escalate risks in reports and dashboards to leaders.

Skills

Strong communication

Critical thinking

Problem solving

Deadline driven

Cross-functional collaboration

Education

Bachelor's degree

MBA or advanced degree preferred

Tools

Power BI

Tableau

Python

SQL

SAP

O9/Blue Yonder

Job description

Wolverine Worldwide, Inc. is seeking a Senior Analyst, Process & Data Analytics to own planning reporting and analytics across demand, supply, inventory, and executive planning.

You will translate business needs into scalable dashboards and tools while ensuring accuracy, documentation, and adoption by global teams. The role partners with Planning, IT, Master Data, and stakeholders to drive data quality and process improvements, including UAT and deployment.