Global Materials Data Analyst

Benchmark Electronics; Tempe (AZ); On-site; USD 60,000 - 95,000; Full time

Job summary

Benchmark Electronics is seeking a skilled commodity data analyst to perform global data analysis and provide actionable insights within the corporate Supply Chain organization. You will identify opportunities to optimize costs across build-to-print categories and conduct market research on raw material pricing dynamics.

Responsibilities include analyzing data, preparing reports and charts, tracking supplier performance, and ensuring data integrity.

Qualifications

• 2+ years of procurement or commodity management experience preferred.
• Proficient in Excel (Pivot Tables), Power BI, PowerPoint, Teams, SharePoint, Word.
• ERP systems experience: Infor LN, Baan, Kinaxis.

Responsibilities

• Proactively identify opportunities to optimize cost position for various build-to-print commodity categories.
• Conduct global market research including analyzing raw material pricing dynamics.
• Analyze data and prepare summary reports, spreadsheets and charts from multiple sources.
• Prepare and analyze metrics to identify departmental and supplier performance trends.
• Audit data, challenge and resolve data integrity issues and present findings to the responsible manager.
• Assist in process standardization and provide process/communication improvements relative to metrics.

Skills

Data analysis

Analytical thinking

Attention to detail

Communication

Team collaboration

Tools

Excel Pivot Tables

Power BI

PowerPoint

Teams

SharePoint

Word

Infor LN

Baan

Kinaxis

Job description

Benchmark Electronics is seeking a skilled commodity data analyst to perform global data analysis and provide actionable insights within the corporate Supply Chain organization. You will identify opportunities to optimize costs across build-to-print categories and conduct market research on raw material pricing dynamics.

Responsibilities include analyzing data, preparing reports and charts, tracking supplier performance, and ensuring data integrity.