SWA Business Intelligence Engineer, EU SWA Performance Team
Job ID: 10418331 | Amazon UK Services Ltd.
We are looking for a talented and driven Business Intelligence Engineer to join the SWA Performance Team. In this role, you will play a critical part in shaping how our team understands and improves operational performance by transforming complex data into actionable insights. You will design, build, and maintain scalable BI solutions including dashboards, reports, and data pipelines that empower stakeholders to make data-driven decisions. You will work closely with operations, finance, and product teams to define metrics, surface trends, and drive continuous improvement across our performance programs.
Responsibilities
* Design and develop dashboards, reports, and self-service analytics tools to monitor SWA performance metrics.
* Build and maintain robust data pipelines and data models to support reporting and analysis needs.
* Partner with cross‑functional stakeholders to gather requirements and translate business questions into analytical solutions.
* Define, document, and standardize key performance indicators (KPIs) across the SWA performance program.
* Identify trends, anomalies, and opportunities through deep‑dive analysis and proactive data exploration.
* Ensure data quality, accuracy, and consistency across all BI outputs.
* Collaborate with engineering and data teams to improve data infrastructure and accessibility.
* Support ad hoc analytical requests and present findings clearly to both technical and non‑technical audiences.
* Continuously evaluate and improve existing BI tools and processes to increase efficiency and impact.
Basic Qualifications
* Bachelor's degree in Computer Science, Engineering, Statistics, or a related field.
* Experience in a Business Intelligence, Data Engineering, or Analytics role.
* Proficiency in SQL and experience working with large‑scale data warehouses.
* Experience building dashboards and visualizations using tools such as Amazon QuickSight, Tableau, or similar.
* Strong analytical and problem‑solving skills with attention to detail.
* Ability to communicate complex data findings clearly to both technical and non‑technical audiences.
* Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
* Experience with data visualization using Tableau, Quicksight, or similar tools.
* Experience with data modeling, warehousing and building ETL pipelines.
* Experience in statistical analysis packages such as R, SAS and Matlab.
* Experience with SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.
* Experience in the data/BI space.
Preferred Qualifications
* Experience working in a logistics, transportation, or operations environment.
* Familiarity with Python or other scripting languages for data processing and automation.
* Experience with ETL/ELT pipelines and data modeling best practices.
* Demonstrated ability to work in a fast‑paced, ambiguous environment and manage multiple priorities.
* Experience with Amazon Web Services (AWS) data services (e.g., Redshift, S3, Glue, EC2, DynamoDB).
* Experience in data mining, ETL, etc., and using databases in a business environment with large‑scale, complex datasets.
Equal Opportunity Employment
Amazon is an equal opportunity 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 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, 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