Cleaver-Brooks is seeking to modernize its pricing and inventory decision-making processes by transitioning from manual Excel and Access-based reporting to scalable, automated solutions using Python, SQL, centralized data models, and Power BI. The goal is to improve pricing competitiveness, inventory availability, and proactive decision-making within the Aftermarket parts business.
Requirements
- Python for data analysis and automation
- SQL and relational databases
- Power BI or similar BI tools
- Experience working with structured datasets and analytics workflows.
- Experience modernizing legacy reporting environments (Excel, Access).
- Exposure to statistical analysis, forecasting, or demand modeling.
- Familiarity with pricing systems such as IFS; Zilliant experience is a plus.
Responsibilities
- Develop analytics to monitor pricing competitiveness and market alignment.
- Create alerts and notifications when pricing deviates from benchmarks or when PPV risk increases.
- Build SKU-level demand and sales-velocity analytics.
- Create alerts for accelerating demand, stockout risk, and slow-moving inventory.
- Help transition analytics from Access databases and Excel reports to a centralized data model.
- Use Python to clean, transform, and analyze pricing and inventory data.
- Build and maintain Power BI dashboards that present pricing and inventory insights clearly.
Other
- 3+ years of experience in a Data Analyst, Business Intelligence Analyst, or similar role.
- Strong analytical, problem-solving, and communication skills.
- Experience with pricing, inventory, supply chain, or aftermarket analytics.
- Experience working in a data or analytics COE environment.
- The level of this role (Data Analyst II or III) will be determined based on experience and demonstrated technical capability.
