Manager, Demand & Inventory Analytics

Novolex•Lake Forest, IL

2d•$130,000 - $145,000•Hybrid

About The Position

This is a hybrid position with 3 days a week in our Lake Forest, IL office. The Manager, Demand & Inventory Analytics is responsible for overseeing the analytics portfolio supporting Demand Planning, Inventory Planning, and Integrated Business Planning (IBP) processes. This role partners closely with business stakeholders to identify business challenges, decision-support needs, and analytical opportunities, define requirements, and work with technical teams to deliver solutions that improve visibility and decision-making across the organization. The ideal candidate brings a strong understanding of demand planning, inventory management, and broader supply chain planning processes along with the ability to bridge business needs and analytics capabilities. They will lead analytics solutions and capability enhancements from concept through adoption, including requirements gathering, user acceptance testing, training, documentation, and ongoing support.

Requirements

Bachelor's degree in Supply Chain, Business, Operations Management, Analytics, Information Systems, or related field
6+ years of experience in supply chain planning, business analysis, reporting, or analytics-related roles
Strong understanding of demand planning, inventory management, forecasting, and/or IBP/S&OP processes
Experience gathering business requirements and translating them into analytics, reporting, or system solutions
Experience partnering with both business stakeholders and technical delivery teams
Familiarity with business intelligence and analytics platforms such as Power BI, Tableau, or similar tools

Nice To Haves

Experience leading user acceptance testing, training, documentation, or change management initiatives

Responsibilities

Own and manage the portfolio of Demand Planning and Inventory Management reports, dashboards, and analytical tools
Prioritize analytics initiatives and capability enhancements based on business value, stakeholder needs, and organizational objectives
Identify opportunities to improve demand visibility, inventory insights, forecasting effectiveness, and decision-support capabilities
Ensure analytics solutions remain aligned with evolving business processes and planning requirements
Partner with Demand Planning, Inventory Planning, and Commercial teams to understand business challenges, analytical needs, and process pain points
Facilitate requirements gathering, process mapping, and solution design activities
Translate business requirements into clear functional specifications for analytics and technical delivery teams
Act as a trusted advisor on analytics capabilities, opportunities, and best practices
Collaborate with analytics engineers and technical teams throughout solution design, development, and deployment
Lead user acceptance testing (UAT) efforts and validate that delivered solutions meet business requirements
Develop training materials, user documentation, and support resources for analytics solutions
Drive user adoption and change management activities to maximize business value
Establish and maintain standardized KPI definitions, analytical metrics, and business rules
Partner with analytics and data teams to promote consistency and accuracy across analytics assets and reporting outputs
Support data quality improvement efforts by identifying gaps, discrepancies, and process improvement opportunities
Ensure analytical outputs align with established planning processes and organizational standards
Monitor solution adoption, stakeholder feedback, and business outcomes to identify enhancement opportunities
Recommend analytics solutions, process improvements, and decision-support capabilities that improve operational performance
Promote data-driven decision-making across planning functions
Stay informed on emerging analytics and decision-support capabilities relevant to demand planning, inventory management, and IBP processes
Lead cross-functional analytics initiatives and coordinate efforts across planning, analytics, and technology teams
Foster a culture of collaboration, accountability, and continuous improvement
Establish priorities and manage workload across multiple initiatives and stakeholder groups