drjobs Business Intelligence Engineer - 12 months contract , S&OP - EU SWA

Business Intelligence Engineer - 12 months contract , S&OP - EU SWA

Employer Active

1 Vacancy
drjobs

Job Alert

You will be updated with latest job alerts via email
Valid email field required
Send jobs
Send me jobs like this
drjobs

Job Alert

You will be updated with latest job alerts via email

Valid email field required
Send jobs
Job Location drjobs

London - UK

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Were seeking a Business Intelligence Engineer (12-month Fixed Term Contract) to join our Ship With Amazon (SWA-EU) Sales & Operations Planning Analytics team. In this role youll leverage advanced analytics to optimize our First Mile (FM) and Middle Mile (MM) network operations and develop forecasting solutions to enhance operational efficiency. This role will also have
partnership with internal tech and data engineering teams where youll optimize data infrastructure and broaden access to customer insights. Your focus will be on developing best practices for data integrity consistency validation and documentation to ensure high-quality accessible data.


Contract Duration: 12 months Fixed Term Contract
Location: London

Join us in transforming SWA-EUs operations through data-driven solutions and analytical excellence.

Key job responsibilities
Lead the development and optimization of analytical solutions for SWAs First Mile and Middle Mile network including route planning capacity utilization models and network design simulations to drive operational efficiency.

Design and maintain advanced forecasting models for accurate volume prediction and capacity planning ensuring optimal resource allocation and network performance across the SWA-EU network.

Create and automate comprehensive reporting systems and interactive dashboards using SQL Python and visualization tools to monitor key operational metrics track KPIs and provide actionable insights to stakeholders.

Partner with cross-functional teams to identify operational challenges conduct deep-dive analyses and deliver data-driven recommendations that support strategic decision-making and network improvements.

- Experience with SQL
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience with data modeling warehousing and building ETL pipelines
- Experience in analyzing and interpreting data with Redshift Oracle NoSQL etc.
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

- Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
- Experience in data mining ETL etc. and using databases in a business environment with large-scale complex datasets

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 ( to know more about how we collect use and transfer the personal data of our candidates.

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 youre applying in isnt listed please contact your Recruiting Partner.

Employment Type

Full-Time

About Company

Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.