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Description

We are looking for an experienced Data Analyst to join the Reverse Logistics Services team to help unlock insights which take our team to the next level. The ideal candidate will be excited about understanding and implementing new and repeatable processes, while providing data to improve the Returns transportation business. The successful candidate will have strong data mining and modeling skills and is comfortable facilitating ideas and working from concept through to execution. They will partner with various key stakeholders to deep dive into the business challenges and data to identify insights, providing recommendations for process improvement on a globally scalable level. This role requires an individual with excellent analytical abilities as well as strong business acumen.

Key job responsibilities

-Retrieving and analyzing data using Excel, SQL, and other data management systems

-Monitoring existing metrics, analyzing data and partnering with internal/external teams to identify process and system improvement opportunities

-Design, develop and maintain scalable, automated, user-friendly systems, reports, or dashboards to enable stakeholders to manage the business and drive effective decisions

-Prepare and deliver business requirements reviews to leadership teams

-Excellent writing skills, to create artifacts easily digestible by business and tech partners.

-Be self-driven, and show ability to deliver on ambiguous projects with incomplete data

About the team

At Amazon Worldwide Returns & ReCommerce (WW R&R), we aspire to zero: zero cost of returns, zero waste, and zero defects.

We are an agile, innovative organization dedicated to ‘making zero happen’ to benefit our customers, company, and environment. We are constantly innovating to create long-term value at Amazon by investing in the future and focusing on the planet, not just on the bottom line. WW R&R includes business, product, program, operational, data, and software engineering teams, who together manage the lifecycle of returned and damaged products.

Basic Qualifications

• Bachelor’s degree in Business, STEM, Operations, Finance, or related field

• Experience in a business analyst, data analyst or statistical analysis role

• Experience managing and influencing key metrics

• Ability to analyze associate and customer inputs to influence internal and external partners

• Experience with MS Outlook, Excel, and Word

• Strong written communications skills

• Experience with data visualization tools like Tableau and/or experience with SQL & QuickSight

Preferred Qualifications

• Experience in Retail, Transportation or Operations

• Advanced SQL skills

• Experience with Python, R or other scripting languages

• Experience communicating across all levels of management, peers, and partners

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $52,700/year in our lowest geographic market up to $112,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.