Data Analyst, ReLo

Our Worldwide Operations network delivers millions of packages and smiles to Amazon customers every day. We are looking for motivated, customer-focused individuals who want to join our team. In this role, you will ensure employee productivity is maximized and customer engagement is achieved. You will also play a key part in maintaining our customer expectations to ensure customer orders are delivered at the right time, to the right location.

Our Operation’s workflow has three major components: First mile - where the product is housed and ready for order; Middle mile - where the order is hauled to your area; and Last mile - when the product is delivered to the customer’s door. Please note that all workflows have slight building variations, but one thing is constant: our vision and dedication to the customer.

An ideal candidate has a background in operational procedures, quality standards, and excellent data dive deep skills. This job will require exceptional communication and interpersonal skills while having the ability to work independently in a high pressure environment and exercise sound judgment. The successful candidate will be proficient at identifying / solving or escalating logistics challenges and possess a bias to get things done and deliver results while functioning as part of a team.

Key job responsibilities
Job responsibilities

- Complete daily and weekly SOX reporting as assigned: Be comfortable with deep-diving and documenting findings, being able to take JDI actions to fix issue, and identifying escalations and creating action items ideas to share with leadership.
- Conduct adhoc research to identify improvements being able to efficiency search through large datasets in the data warehouse to identify trends and present these trends to leadership.
- Develop and maintain regular SQL reporting as requested by leadership using the amazon data warehouse and publishing via email, quicksight, or excel.
- Work in path, performing associate and leadership tasks that are in an Amazon ReLo warehouse inorder to identify data-driven solutions and automations.
- Work with quality leadership team to improve standards and identify defects in the operation.

BASIC QUALIFICATIONS

- 1+ years of Microsoft Office products and applications experience
- High school or equivalent
- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
- Can lift up to 49 pounds, stand/walk during shifts lasting up to 12 hours, and be able to frequently push, pull, squat, bend, and reach
- Work 40 hours/week, and overtime as required
- 1+ years of professional work experience, or experience in MS Office, with an emphasis on Excel
- 1+ years of complex Excel VBA macros writing experience
- Experience in advanced SQL, Python, Tableau
- Experience using data to drive root cause elimination and process improvement

PREFERRED QUALIFICATIONS

- 2+ years of Microsoft Office products and applications experience
- 2+ years of Microsoft Office products and applications experience

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The starting pay for this position is listed below including the base pay rate plus the highest available shift differential which applies depending on the shift you select. As a total compensation company, you are eligible for additional earnings including overtime pay and performance bonuses. Final pay will be based on factors including shift selection and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at .

USA, PA, Reading - 25.00 - 26.00 USD hourly