Labor Planning & Analytics Specialist

Amazon.com Inc.; Bellevue (WA); On-site; USD 80,000 - 98,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Parental leave

Job summary

Amazon.com Services LLC in Bellevue, WA is seeking a motivated data-analytic professional to join the NASC team. You will build metrics, tools, and reports to support Amazon's growth, collaborating with Sort Center Operations, HR, Finance and S&OP to own labor planning for NASC centers.

You will apply SQL and scripting (VBA, Perl, Ruby, etc.) skills to develop dashboards, automate reporting, and drive efficiency across the fulfillment network.

Qualifications

• 1+ years in tax, finance or analytical field.
• 2+ years of complex Excel VBA macros writing experience.
• Experience defining requirements and using data and metrics to draw business insights.
• Experience with SQL or ETL.

Responsibilities

• Build and manage benchmarking metrics for fulfillment practices.
• Perform weekly labor planning and identify capacity risks with leadership.
• Gather and analyze data to establish global supply chain standards.
• Develop basic scripts to process data for analysis and optimization.
• Generate complex queries to investigate process issues.
• Develop dashboards and artifacts to drive efficiency via metrics and reporting.
• Collaborate with teams to implement KPI reporting and process improvements.
• Enable decision making by consolidating data from multiple sources.

Skills

SQL

Excel VBA

Data analysis

ETL

Education

Bachelor's degree or equivalent

Tools

Tableau

Excel

ETL tools

Job description

Amazon.com Services LLC in Bellevue, WA is seeking a motivated data-analytic professional to join the NASC team. You will build metrics, tools, and reports to support Amazon's growth, collaborating with Sort Center Operations, HR, Finance and S&OP to own labor planning for NASC centers.

You will apply SQL and scripting (VBA, Perl, Ruby, etc.) skills to develop dashboards, automate reporting, and drive efficiency across the fulfillment network.