Data Analyst, MFN RCX

Data Analyst in the Worldwide Returns & ReCommerce group models complex problems and derives actionable insights through BI, data mining, and visualization to guide cross functional decision making.

Responsibilities

• Apply analytics and data mining to address complex problems and influence business decisions
• Leverage appropriate tools and methodologies to uncover risk and abuse patterns and help reduce bad debt
• Analyze customer behavior patterns and propose policy change hypotheses
• Develop solutions to analytical problems and clearly communicate methodologies and findings
• Create analyses for product launches and offer launch recommendations
• Draw inferences, build dashboards and visualizations, and identify trends and anomalies
• Collaborate with business, engineering, and partner teams to align activities around your focus area

Requirements

• Minimum 2 years of program or project management experience
• At least 3 years of Computerized Maintenance Management System (CMMS) program experience
• 3+ years as a maintenance planner or scheduler in industrial maintenance, manufacturing, or distribution industries
• 3+ years of advanced proficiency with Microsoft Word and Excel
• Bachelor's degree in a relevant field, or 2+ years of Amazon RME (BB/3P) full-time experience
• Ability to work a flexible schedule, including weekends, nights, and holidays

Technologies

• SQL
• MS Access
• Microsoft Projects
• Microsoft Word
• Microsoft Excel

Benefits

• Health insurance
• 401(k) matching
• Paid time off
• Parental leave
• Sign-on payments
• Restricted stock units (RSUs)

Details

• Location: Bellevue, WA (onsite)
• Salary: USD 80,200 - 97,400 per year
• Experience: 2+ years required
• Education: Bachelor's degree

Description

The Worldwide Returns & ReCommerce (WWRR) group at Amazon focuses on making zero cost of returns, zero waste, and zero defects to benefit customers, the business, and the environment. WWRR spans business, product, operations, data, and software engineering teams who together manage the lifecycle of returned and damaged products.

In WWRR you will partner across these disciplines to help customers discover quality used items, rentals, and open box deals; maximize value from Amazon products; improve the returns experience; and reduce defects, waste, and reverse-logistics costs.

You will be a leader, builder, and owner, collaborating across technical, operations, and business teams to design scalable and automated solutions to customer problems. The Earth is our customer too, and WWRR embraces that focus as we innovate within Amazon's ecosystem.

As a Data Analyst, you will model complex problems, derive insights, and identify opportunities through business intelligence, data mining, and visualization techniques. You will collaborate with internal stakeholders and cross-functional teams to solve problems, create operational efficiencies, and meet high standards. You should apply a breadth of tools, data sources, and analytical approaches to answer high-impact business questions and present insights concisely. You should also communicate findings to non-technical audiences and drive issues to resolution independently. This role carries high impact with goals tied to the business bottom line.