Manufacturing Pricing & Inventory Data Analyst

About the role

Cleaver-Brooks is seeking a Manufacturing Pricing & Inventory Data Analyst to support pricing and inventory decision-making within our Aftermarket parts business in Milwaukee, WI.

Responsibilities

• Pricing Analytics - Develop analytics to monitor pricing competitiveness and market alignment. Create alerts and notifications when pricing deviates from benchmarks or when PPV risk increases. Analyze the impact of pricing changes on sales volume, margin, and market performance. Replace manual Excel-based pricing analyses with automated, repeatable solutions. Provide data-driven insights to support pricing decisions.
• Inventory & Demand Analytics - Build SKU-level demand and sales-velocity analytics. Create alerts for accelerating demand, stockout risk, and slow-moving inventory. Support decisions related to stocking strategies and target inventory levels. Analyze year-over-year and seasonal demand trends. Partner with inventory and supply chain teams to translate analytics into actions.
• Data Modeling & Analytics Foundations - Help transition analytics from Access databases and Excel reports to a centralized data model. Design and maintain structured tables, views, and datasets to support pricing and inventory analytics. Improve data quality, consistency, and usability for reporting and analysis.
• Automation & Advanced Analytics - Use Python to clean, transform, and analyze pricing and inventory data. Automate recurring analyses, alerts, and data refreshes. Store analytics outputs in database tables for consistent reporting and reuse. Collaborate with Digital Solutions and the ALM Analytics COE to support production-ready analytics.
• Reporting & Visualization - Build and maintain Power BI dashboards that present pricing and inventory insights clearly. Develop semantic models and data marts to support consistent reporting. Ensure dashboards align with business needs and decision-making workflows.

Qualifications

• 3+ years of experience in a Data Analyst, Business Intelligence Analyst, or similar role.
• Strong experience with: Python for data analysis and automation, SQL and relational databases, Power BI or similar BI tools.
• Experience working with structured datasets and analytics workflows.
• Strong analytical, problem-solving, and communication skills.