Data Analytics Professional with Warehouse Focus

Austin N. Perez

********@*****.*** **.******@****.***

Professional Summary

Detail-oriented Data Analytics professional with 6.5 years of experience in logistics and business operations, including 1 year of leadership experience. Adept at leveraging data to solve complex problems, improve processes, and enhance team performance. Skilled in data analysis, inventory insights, KPI tracking, and technical troubleshooting. Seeking a data- driven role where I can apply analytical expertise and warehouse experience to drive informed decision-making and operational success.

Key Skills

• Data Analytics & Reporting

• SQL, Python, Excel (Pivot Tables, VLOOKUP, Macros)

• Data Visualization (Power BI, Quip, Tableau)

• Inventory Analysis & Forecasting

• Root Cause & Defect Analysis

• Statistical Analysis & KPI Tracking

• Process Optimization & Automation

• Warehouse & Logistics Analytics

• AWS Cloud Fundamentals

• Problem-Solving & Technical Troubleshooting

Professional Experience

Amazon – LGB8 Distribution Center

Learning Ambassador & Process Logistics Coordinator (PLC) July 2019 – 2024

• Analyzed daily associate productivity data to optimize workflow and reduce training time by 15%.

• Used Excel and Python scripts to track training impact across multiple departments (UR, P.S., ICQA, Flow).

• Developed and reported on KPIs to operations leadership, contributing to cross- department improvements.

• Coordinated staffing and performance metrics across 50+ associates using data-driven planning tools.

• Led weekly reporting on inventory discrepancies and process bottlenecks, reducing downtime by 20%.

Problem Solve & Inventory Control (ICQA) 2019 – 2024

• Maintained and analyzed accuracy for 500+ SKUs per week using inventory databases and audit reports.

• Applied root cause analysis to recurring data defects, reducing label and system issues by 10%.

• Assisted in automation audits using A-TAC machines, supporting predictive maintenance strategies.

• Implemented workflow improvements based on discrepancy trends, increasing inventory reliability.

Flow Operations & Logistics 2020 – 2024

• Tracked throughput data across 5+ warehouse zones to support peak-time efficiency analysis.

• Created visual dashboards summarizing jam-clearance times and processing rates.

• Collaborated with technicians to build logs of mechanical downtime, used to forecast operational risk.

Dock & Inbound 2020 – 2024

• Managed data for over 300 inbound shipments per month, optimizing schedules with predictive tracking.

• Maintained dock performance reports, achieving 95% on-time compliance through analytical planning.

• Coordinated load tracking metrics and documentation in Excel for carrier performance reviews.

Education

Chaffey College – Pursuing AA in Computer Science

Relevant Coursework: Data Structures, Statistics, Programming (Python, C++), Systems Analysis

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