Operations Business Analyst

Peco Pallet

About The Position

The Operations Business Analyst is a foundational role in PECO’s evolution toward AI-enabled decision making. This role leverages readily available operational, service, and quality data to structure, analyze, and visualize insights that identify triggering events across Depot Operations, Service Operations, and Quality. The analyst translates these insights into clear, action-oriented playbooks and visual reports designed for frontline consumption, enabling faster decision-making, cost control, and improved customer outcomes.

Requirements

Bachelor’s degree in business, Supply Chain, Industrial Engineering, Analytics, or related field.
Three to six years of experience in operations analysis, supply chain analytics, quality systems, or a related role.
Strong experience working with operational data, reporting tools, and performance metrics. Experience in logistics, manufacturing, or pooled asset environments preferred.

Nice To Haves

Strong analytical and problem-solving skills
Ability to translate complex data into simple, actionable insights
Deep understanding of operational processes and cost drivers
Clear written and verbal communication skills
Cross-functional collaboration and influence
Continuous improvement mindset
Proficiency with data visualization and reporting tools

Responsibilities

Inventory, cleanse, and integrate existing data sources across repair facility, service, and quality systems.
Establish standard KPI definitions, data models, and logic that support event detection and future AI applications.
Develop foundational analytical structures that enable anomaly detection and decision automation.
Analyze repair facility performance related to receiving, sorting, repairing, painting, storing, and shipping pallets.
Identify inaccuracies in damage rates that drive cost.
Monitor repair activity for over- and under-repair trends, component usage versus specification, and total cost per pallet.
Establish standard KPI definitions, data models, and logic that support event detection and future AI applications.
Monitor pallet dwell (warehouse wait time), inventories, payables, and flow between renters and distributors. Support customer onboarding and training effectiveness related to systems and specifications.
Analyze customer chargebacks, pallet movements, and quality concerns to identify root causes and corrective actions.
Provide insights that strengthen customer relationships and service reliability.
Analyze quality output from depots for adherence to pallet specifications and compare against perceived quality at the renter.
Investigate shipment rejections due to true nonconformance and perceived quality issues.
Identify needs for additional training, automation support, facility movement analysis, or commercial insight during contract cycles.
Define and monitor triggering events such as spikes in damage rates, repair cost variance, pallet dwell (warehouse wait) exceptions, chargeback increases, and quality rejection trends.
Create and maintain standardized playbooks that outline recommended actions, ownership, escalation paths, and expected outcomes based on these events.
Develop intuitive, visual dashboards and reports that clearly communicate what is happening, why it matters, and what action should be taken.
Reports must be easily understood by users operating at a high school graduate level and designed for practical, frontline decision-making.