Business Intelligence Eng. II, EU Same Day Data Team
Amazon UK Services Ltd. · London, England, United Kingdom · Business Intel Engineer
Full-time
About the role
The EU Same Day Data Team builds the data products behind Amazon's fastest delivery promise in Europe. We are looking for a Business Intelligence Engineer II to own speed and cost metrics across the Same Day network and turn complex operational data into decisions that shape how millions of customers get their orders the same day they place them.
You will design and run the pipelines, dashboards, and self-serve datasets that our business partners rely on every day. If you enjoy working close to the operation, building data solutions that scale, and seeing your metrics drive real network changes, this role is for you.
Key job responsibilities
- Build and maintain ETL pipelines on Redshift that turn raw network events into trusted, reusable datasets.
- Own the reporting for offered-speed metrics (latest order cut-off and click-to-promise) and Same Day grocery volume, from source data to executive-ready dashboards.
- Design and publish QuickSight dashboards and self-serve data products so partners can answer their own questions without a bespoke pull each time.
- Define and document metrics so a single number means the same thing across weekly reviews, OP planning, and ad hoc deep dives.
- Investigate anomalies in speed and volume data, trace them to root cause, and communicate findings clearly to technical and business audiences.
- Partner with operations, program, and finance stakeholders to translate business questions into data models and measurable outcomes.
- Apply high engineering standards to the team's assets: version control, code review, monitoring, and ruthless deprecation of what is no longer used.
A day in the life
You start by checking the health of your pipelines and dashboards. Mid-morning you join a Same Day operations review, where your speed and volume metrics anchor the discussion. You spend focused time building a new dataset for a launch, pairing with a colleague on a QuickSight design, and answering a finance partner's question on cost per unit. Your customers are the Same Day operations, program, and finance teams across EU5, and the problems you solve range from a one-off launch deep dive to the metrics that leadership uses to steer the network.
About the team
Our vision is to scale same-day services in Europe by obsessing about excellent data products for our business customers. We provide the centralized data framework for the Same Day organization, covering cost and other operational metrics. We build accessible and sustainable data solutions that adjust to changing priorities, using data engineering, visualization, and AI technologies. We value clear communication, documentation as a byproduct of the work, high technical standards, and investing in the people on the team.
- 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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with SQL
- Experience in the data/BI space
- 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 (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, 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.
You will design and run the pipelines, dashboards, and self-serve datasets that our business partners rely on every day. If you enjoy working close to the operation, building data solutions that scale, and seeing your metrics drive real network changes, this role is for you.
Key job responsibilities
- Build and maintain ETL pipelines on Redshift that turn raw network events into trusted, reusable datasets.
- Own the reporting for offered-speed metrics (latest order cut-off and click-to-promise) and Same Day grocery volume, from source data to executive-ready dashboards.
- Design and publish QuickSight dashboards and self-serve data products so partners can answer their own questions without a bespoke pull each time.
- Define and document metrics so a single number means the same thing across weekly reviews, OP planning, and ad hoc deep dives.
- Investigate anomalies in speed and volume data, trace them to root cause, and communicate findings clearly to technical and business audiences.
- Partner with operations, program, and finance stakeholders to translate business questions into data models and measurable outcomes.
- Apply high engineering standards to the team's assets: version control, code review, monitoring, and ruthless deprecation of what is no longer used.
A day in the life
You start by checking the health of your pipelines and dashboards. Mid-morning you join a Same Day operations review, where your speed and volume metrics anchor the discussion. You spend focused time building a new dataset for a launch, pairing with a colleague on a QuickSight design, and answering a finance partner's question on cost per unit. Your customers are the Same Day operations, program, and finance teams across EU5, and the problems you solve range from a one-off launch deep dive to the metrics that leadership uses to steer the network.
About the team
Our vision is to scale same-day services in Europe by obsessing about excellent data products for our business customers. We provide the centralized data framework for the Same Day organization, covering cost and other operational metrics. We build accessible and sustainable data solutions that adjust to changing priorities, using data engineering, visualization, and AI technologies. We value clear communication, documentation as a byproduct of the work, high technical standards, and investing in the people on the team.
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 data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with SQL
- Experience in the data/BI space
Preferred qualifications
- 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 (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, 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.