ICQA Data Analyst: Defect Insights & Process Improvement

Amazon; Hollister (CA); On-site; USD 37,000 - 40,000; Full time

Benefits offered by this job

Health care (medical, dental, vision)

401(k) with company match

Employee discount

Job summary

Amazon is seeking a Data Analyst for the ICQA team in Los Angeles area. The analyst will support inbound and outbound operations with data and analytics for ACES initiatives and root-cause investigations, while ensuring ICQA SOX compliance.

Strong Excel/SQL/Tableau/Python skills are required and the role demands attention to detail and adaptability. You will work with cross-functional teams and present actionable insights to senior leadership, helping drive process improvements and operational

Qualifications

• 1+ year of experience with Microsoft Office including Excel (v-lookups, pivot tables).
• Experience writing VBA and using macros in Excel.
• Expertise in SQL, Tableau and Python for data analysis.
• Demonstrated experience pulling and analyzing data to aid root cause identification.
• Ability to work with ambiguous data and drive process improvement.

Responsibilities

• Develop data collection processes and data management systems.
• Maintain data integrity with minimal error rate.
• Design queries, compile data, and generate reports in MS Excel/BI tools.
• Present analysis in standard reports to leadership.
• Teach leadership to interpret data trends; back up ICQA duties.

Skills

Analytical thinking

Attention to detail

Self-starter

Communication

Tools

SQL

Tableau

Python

Excel

VBA

Job description

Amazon is seeking a Data Analyst for the ICQA team in Los Angeles area. The analyst will support inbound and outbound operations with data and analytics for ACES initiatives and root-cause investigations, while ensuring ICQA SOX compliance.

Strong Excel/SQL/Tableau/Python skills are required and the role demands attention to detail and adaptability. You will work with cross-functional teams and present actionable insights to senior leadership, helping drive process improvements and operational