DESCRIPTION
The goal of Amazon Logistics is to build a world-class last mile operation. Amazon aims to exceed the expectations of our customers by ensuring that their orders are delivered as quickly, accurately, and in the most cost-effective way as possible. This role is for a passionate, dynamic, analytical, innovative, hands-on, and customer-obsessed business intelligence engineer.
Key Job Responsibilities The ideal candidate will have experience working with large datasets and distributed computing technologies. The candidate relishes working with large volumes of data, enjoys the challenge of highly complex technical contexts, and, above all else, is passionate about data and analytics. They are an expert with data modeling, ETL design, and business intelligence tools, have hands-on knowledge of columnar databases such as Redshift and other related AWS technologies. They passionately partner with customers to identify strategic opportunities in the field of data engineering. They are a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoy working in a fast-paced team that continuously learns and evolves on a day-to-day basis.
About the Team AMZL EU BAT is a central analytics team within the Supply Chain, Transportation Planning & Operational Excellence (EU STEP) that provides analytics support to all key functions under this organization.
BASIC QUALIFICATIONS Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. Experience with data visualization using Tableau, Quicksight, or similar tools Experience with one or more industry analytics visualization tools (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g., t-test, Chi-squared) Experience with scripting languages (e.g., Python, Java, or R) Experience with SQL Experience in the data/BI space
PREFERRED QUALIFICATIONS Master's degree or advanced technical degree Knowledge of data modeling and data pipeline design Experience with statistical analysis, correlation analysis
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.
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. #J-18808-Ljbffr
The goal of Amazon Logistics is to build a world-class last mile operation. Amazon aims to exceed the expectations of our customers by ensuring that their orders are delivered as quickly, accurately, and in the most cost-effective way as possible. This role is for a passionate, dynamic, analytical, innovative, hands-on, and customer-obsessed business intelligence engineer.
Key Job Responsibilities The ideal candidate will have experience working with large datasets and distributed computing technologies. The candidate relishes working with large volumes of data, enjoys the challenge of highly complex technical contexts, and, above all else, is passionate about data and analytics. They are an expert with data modeling, ETL design, and business intelligence tools, have hands-on knowledge of columnar databases such as Redshift and other related AWS technologies. They passionately partner with customers to identify strategic opportunities in the field of data engineering. They are a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoy working in a fast-paced team that continuously learns and evolves on a day-to-day basis.
About the Team AMZL EU BAT is a central analytics team within the Supply Chain, Transportation Planning & Operational Excellence (EU STEP) that provides analytics support to all key functions under this organization.
BASIC QUALIFICATIONS Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. Experience with data visualization using Tableau, Quicksight, or similar tools Experience with one or more industry analytics visualization tools (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g., t-test, Chi-squared) Experience with scripting languages (e.g., Python, Java, or R) Experience with SQL Experience in the data/BI space
PREFERRED QUALIFICATIONS Master's degree or advanced technical degree Knowledge of data modeling and data pipeline design Experience with statistical analysis, correlation analysis
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.
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. #J-18808-Ljbffr
