Cleaver-Brooks
Cleaver‑Brooks is seeking a
Pricing & Inventory Data Analyst
to support pricing and inventory decision‑making within our Aftermarket parts business in Milwaukee, WI. This role focuses on developing analytics that improve pricing competitiveness, inventory availability, and proactive decision‑making. The analyst will help modernize analytics currently performed using Excel and Access‑based reporting, transitioning them into scalable solutions using Python, SQL, centralized data models, and Power BI. This role reports into the Genuine Parts organization and works closely with Pricing, Inventory, and Digital Solutions teams. The position also participates in the broader
ALM Analytics Center of Excellence (COE)
to ensure analytics are sustainable and reusable.
Essential Functions
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.
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.
Key Outcomes
Timely pricing and inventory alerts that support proactive decision‑making.
Reduced reliance on manual Excel and Access‑based reporting.
Improved visibility into SKU demand, pricing alignment, and inventory performance.
Scalable, reusable analytics aligned with ALM Analytics COE standards.
Required 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, working with structured datasets and analytics workflows.
Strong analytical, problem‑solving, and communication skills.
Preferred Qualifications
Experience with pricing, inventory, supply chain, or aftermarket analytics.
Familiarity with pricing systems such as IFS; Zilliant experience is a plus.
Experience modernizing legacy reporting environments (Excel, Access).
Exposure to statistical analysis, forecasting, or demand modeling.
Experience working in a data or analytics COE environment.
Benefits of Being a Cleaver‑Brooks Employee
Comprehensive benefits, including medical, dental, vision, maternity support program, discounted virtual physician visits, voluntary medical benefits (Critical Illness, Hospital Care, and Accidental Injury), FSA, HSA, life insurance, short‑term and long‑term disability
Cash matching 401(k) plan
Employee assistance program (EAP)
Employee discount program
Tuition assistance
Paid time off and 11 paid holidays
Location: Milwaukee, WI
Salary: $69,300.00–$104,000.00
#J-18808-Ljbffr
Pricing & Inventory Data Analyst
to support pricing and inventory decision‑making within our Aftermarket parts business in Milwaukee, WI. This role focuses on developing analytics that improve pricing competitiveness, inventory availability, and proactive decision‑making. The analyst will help modernize analytics currently performed using Excel and Access‑based reporting, transitioning them into scalable solutions using Python, SQL, centralized data models, and Power BI. This role reports into the Genuine Parts organization and works closely with Pricing, Inventory, and Digital Solutions teams. The position also participates in the broader
ALM Analytics Center of Excellence (COE)
to ensure analytics are sustainable and reusable.
Essential Functions
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.
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.
Key Outcomes
Timely pricing and inventory alerts that support proactive decision‑making.
Reduced reliance on manual Excel and Access‑based reporting.
Improved visibility into SKU demand, pricing alignment, and inventory performance.
Scalable, reusable analytics aligned with ALM Analytics COE standards.
Required 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, working with structured datasets and analytics workflows.
Strong analytical, problem‑solving, and communication skills.
Preferred Qualifications
Experience with pricing, inventory, supply chain, or aftermarket analytics.
Familiarity with pricing systems such as IFS; Zilliant experience is a plus.
Experience modernizing legacy reporting environments (Excel, Access).
Exposure to statistical analysis, forecasting, or demand modeling.
Experience working in a data or analytics COE environment.
Benefits of Being a Cleaver‑Brooks Employee
Comprehensive benefits, including medical, dental, vision, maternity support program, discounted virtual physician visits, voluntary medical benefits (Critical Illness, Hospital Care, and Accidental Injury), FSA, HSA, life insurance, short‑term and long‑term disability
Cash matching 401(k) plan
Employee assistance program (EAP)
Employee discount program
Tuition assistance
Paid time off and 11 paid holidays
Location: Milwaukee, WI
Salary: $69,300.00–$104,000.00
#J-18808-Ljbffr