-
Amazon

Data Analyst, Returns, ReCommerce & Sustainability

Amazon
Luxembourg · Full-time · Not Applicable

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

  • Experience in Transportation or Operations
  • 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

  • 2+ years experience in Transportation or Operations
  • Experience with transportation safety processes
  • Customer returns transportation or operations experience
  • Strong background in administrative support, project or data management and working with tech teams

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

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.


Company - Amazon EU Sarl - A84

Job ID: A2906512

Key Skills

Ranked by relevance

excel sql data visualization data mining outlook tableau
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Posted
Feb 20, 2025
Type
Full-time
Level
Not Applicable
Location
Luxembourg
Company
Amazon

Industries

Software Development

Categories

Distribution Supply Chain Engineering

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