Weekend Amazon Sql Jobs (NOW HIRING)

Amazon Freight is seeking a highly skilled and motivated AFE Ops Associate to assist in the resolution of vendor, carrier, and/or driver issues of daily freight movements flowing into our North American fulfillment centers and our associated fulfillment network. This is an exciting opportunity to join a new team in a huge growth area for Amazon.
An ideal candidate has a background in transportation and excellent data driven problem resolution skills. They have the ability to pull and analyze data with ease, drive process improvements, standardize our processes and eliminate the root cause of defects within the current systems. This job will require exceptional communication skills as a customer facing role and requires the ability to work independently in a high pressure environment.
Responsibilities include, but are not limited to:
- Continual, tactical communication with external customers (Carriers, Vendors/Suppliers) and internal customers (Retail, Finance, Software Support, Fulfillment Centers)
- Ability to pull data from numerous databases (using Excel, Access, SQL and/or other data management systems) and to perform ad hoc reporting and analysis as needed
- Publish performance metrics to assist with driving business results
- Identify and eliminate root causes of defects in order to drive efficiency in Amazon's transportation operations
- Must be able to quickly understand the business impact of the trends and make decisions that make sense based on available data
- Must be able to systematically escalate problems or variance in the information and data to the relevant owners and teams and follow through on the resolutions to ensure they are delivered
- Work within various time constraints to meet critical business needs, while measuring and identifying activities performed
- Excellent communication, both verbal and written as you will be required to create a narrative outlining your weekly findings and the variances to goals, and present these finding in a review forum
BASIC QUALIFICATIONS
-1+ years of working with computers and Microsoft Office (including Outlook, Word, and Excel) experience
-High school or equivalent diploma
-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
-Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
-Are 18 years of age or older
PREFERRED QUALIFICATIONS
- Bachelor's degree or equivalent, or 2+ years of Amazon experience
- Bachelor's degree in Engineering, Operations, Supply Chain/Logistics, or a related field
- Experience in MS Access and SQL
- Knowledge of lean techniques and Six Sigma tools
- Experience in one or more of the following industries: shipping/logistics distribution centers, manufacturing environments, hospitality, healthcare, retail, and customer-facing / customer-service environments
- Experience managing large amounts of data
- Experience using data to drive root cause elimination and process improvement
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 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.
The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, 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 https://hiring.amazon.com/why-amazon/benefits.
USA, GA, Atlanta - 21.00 - 29.00 USD hourly