At a Glance
- Tasks: Transform complex data into actionable insights for Amazon's Same Day delivery service.
- Company: Join Amazon's innovative EU Same Day Data Team.
- Benefits: Competitive salary, diverse work culture, and opportunities for growth.
- Other info: Collaborative environment with a focus on clear communication and high technical standards.
- Why this job: Make a real impact on how millions receive their orders daily.
- Qualifications: Experience in data analysis, ETL pipelines, and data visualisation tools.
The predicted salary is between 63000 - 77000 £ per year.
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 Quick Sight 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 Quick Sight 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, No SQL 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, Dynamo DB, 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.
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Business Intelligence Eng. II, EU Same Day Data Team employer: Amazon.com, Inc
Amazon is an exceptional employer, offering a dynamic work environment in the heart of London that fosters innovation and collaboration. As a Transfer Pricing Manager, you will benefit from a culture that values diversity and encourages professional growth through continuous learning and development opportunities. With a focus on meaningful work and a commitment to employee well-being, Amazon provides a unique platform for you to thrive in your career while making a significant impact in the EMEA region.
StudySmarter Expert Advice🤫
We think this is how you could land Business Intelligence Eng. II, EU Same Day Data Team
✨Get to Grips with Data Visualisation Tools
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✨Join Local Business Intelligence Meetups
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✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
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We think you need these skills to ace Business Intelligence Eng. II, EU Same Day Data Team
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Amazon.com, Inc, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Amazon.com, Inc
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Amazon.com, Inc’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
