Business Intelligence Eng. II, EU Same Day Data Team

Amazon.com, Inc; City of Westminster; On-site; GBP 65,000 - 90,000; Full time

Job summary

Amazon.com, Inc. in the United Kingdom seeks a Business Intelligence Engineer II to own speed and cost metrics across the Same Day network, turning complex operational data into decisions that shape how customers get their orders the same day.

You will design and run pipelines, dashboards and self-serve datasets, publish QuickSight dashboards, define metrics, investigate anomalies, and partner with operations, program and finance to translate questions into measurable outcomes.

Qualifications

• Experience analyzing and interpreting data from data warehouses and BI tools.
• Proficiency with SQL for data extraction and Python for data processing.
• Experience with data visualization tools (Tableau, Quicksight or similar).
• Familiarity with data modeling, warehousing, and ETL pipelines.

Responsibilities

• Build and maintain ETL pipelines on Redshift to create trusted datasets.
• Own reporting for speed and cost metrics and for same-day delivery volumes.
• Design and publish QuickSight dashboards and self-serve data products for partners.
• Define consistent metrics and investigate data anomalies across the EU5 network.

Skills

Data analysis

SQL

Python

Data visualization

Tools

Redshift

Tableau

Quicksight

Oracle

NoSQL

SAS

Matlab

Job description

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.,

• 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 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

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