Data Analyst, RCX

# Data Analyst, Returns Customer Experience

## About the Role

Amazon is seeking a detail-oriented, analytical, and business-minded **Data Analyst** to support the Returns Customer Experience team within Amazon Worldwide Returns & ReCommerce. This role focuses on turning returns transportation and operations data into clear insights, actionable recommendations, repeatable processes, and scalable reporting that help improve customer experience and operational performance.

The Data Analyst will work closely with business, operations, transportation, product, program, and technology stakeholders to identify challenges, investigate data, monitor key metrics, and recommend improvements that can scale across global returns processes. This position requires strong analytical skills, proficiency with Excel and SQL, and the ability to translate complex data into practical business guidance.

The ideal candidate is curious, structured, and comfortable working with large data sets, ambiguous business questions, and cross-functional stakeholders. They should be able to identify trends, uncover root causes, build reporting tools, and help leaders make better decisions through accurate and timely analysis.

## Key Responsibilities

* Retrieve, organize, and analyze returns transportation, operations, and customer experience data using Excel, SQL, and other data management systems.
* Support Amazon Worldwide Returns & ReCommerce by developing insights that improve returns processes, operational efficiency, and customer outcomes.
* Partner with stakeholders to understand business challenges, define analytical questions, and identify data needed to support decision-making.
* Investigate data trends, anomalies, performance gaps, and operational issues related to returns and transportation processes.
* Monitor existing business metrics and identify changes, risks, opportunities, and areas requiring follow-up.
* Build and maintain repeatable reporting processes, dashboards, data views, and analysis templates.
* Design scalable systems and reporting structures that can support global returns operations and long-term business growth.
* Prepare business requirements reviews, analytical summaries, performance reports, and recommendations for stakeholders and leadership.
* Translate data findings into clear business insights, practical recommendations, and measurable improvement opportunities.
* Work with operations, program, product, and technology teams to support process improvements and scalable solutions.
* Identify opportunities to automate manual reporting, improve data quality, simplify analysis, and reduce operational friction.
* Support root-cause analysis for issues affecting returns speed, cost, accuracy, transportation performance, and customer experience.
* Track the impact of process changes, pilot programs, operational improvements, and global initiatives.
* Help define, refine, and document metrics, reporting logic, data definitions, and analytical methods.
* Validate data accuracy, reconcile sources, identify gaps, and escalate data-quality issues when needed.
* Communicate analysis results clearly to technical and non-technical audiences.
* Support recurring business reviews, operational updates, project meetings, and performance discussions.
* Maintain a strong understanding of returns operations, transportation workflows, customer experience goals, and business priorities.

## Required Qualifications

* Experience in data analysis, business analysis, operations analysis, reporting, or a related analytical role.
* Strong proficiency with Excel, including formulas, pivot tables, data cleaning, analysis, and reporting.
* Experience using SQL to retrieve, join, filter, and analyze data from databases or data warehouses.
* Ability to work with large data sets and translate findings into clear insights and recommendations.
* Strong analytical thinking and problem-solving skills.
* Ability to identify trends, outliers, root causes, and improvement opportunities.
* Strong attention to detail and commitment to data accuracy.
* Ability to partner with business stakeholders to clarify needs and deliver useful analysis.
* Strong written and verbal communication skills.
* Ability to manage multiple priorities, deadlines, and stakeholder requests in a fast-paced environment.
* Comfort working with ambiguity and developing structured approaches to open-ended business questions.
* Experience creating reports, dashboards, business reviews, or performance summaries.

## Preferred Qualifications

* Experience in e-commerce, retail, logistics, transportation, supply chain, reverse logistics, returns, re-commerce, or customer experience operations.
* Experience with business intelligence tools such as Tableau, QuickSight, Power BI, Looker, or similar platforms.
* Experience designing scalable reporting systems, automated dashboards, or repeatable analytical processes.
* Familiarity with operations metrics, transportation performance, customer experience metrics, cost analysis, and process improvement.
* Experience preparing business requirements documents, business review materials, or executive-level reporting.
* Experience working with product, program, operations, engineering, or technology teams.
* Knowledge of data quality controls, metric definitions, reporting governance, and data documentation.
* Experience supporting global operations or cross-regional reporting.
* Bachelor’s degree in business, analytics, economics, mathematics, statistics, computer science, supply chain, operations, finance, or a related field is helpful.

## Ideal Candidate Profile

The ideal candidate is a practical analyst who can connect data to business decisions. This person should be able to move beyond simply reporting numbers and instead explain what the data means, why it matters, and what action should be taken.

The right candidate is comfortable working with stakeholders who may have complex or evolving questions. They can clarify the business problem, locate the right data, perform the analysis, and communicate findings in a way that supports decisions and action.

This person should also have a process-improvement mindset. They should look for ways to make reporting more scalable, reduce manual work, improve metric visibility, and create analytical tools that can be reused across teams and regions.

## Work Environment

This role supports Amazon’s Returns Customer Experience team within Worldwide Returns & ReCommerce. The Data Analyst will work with business, operations, transportation, product, program, and technology stakeholders in a fast-paced, data-driven environment.

The position requires regular use of data systems, reporting tools, spreadsheets, dashboards, and business review materials. The successful candidate should be comfortable managing recurring reporting needs while also supporting ad hoc analysis, improvement projects, and global initiatives.

## Compensation and Benefits

Compensation will be based on experience, qualifications, location, and overall fit for the role. Benefits may include:

* Competitive salary
* Full-time employment
* Health, dental, and vision benefits
* Paid time off
* Retirement plan options
* Professional development opportunities
* Career growth within analytics, operations, product, program management, or business intelligence
* Opportunity to support global returns and re-commerce operations
* Opportunity to improve customer experience through data-driven insights
* Collaborative, fast-paced business environment

## Equal Opportunity Statement

Amazon is an equal opportunity employer and welcomes applicants from all backgrounds. Employment decisions are based on qualifications, experience, analytical ability, skills, and business needs. The company is committed to maintaining a respectful, inclusive, and collaborative workplace.