At a Glance
- Tasks: Use data to optimise fleet costs and drive savings across Europe.
- Company: Join Amazon's innovative Fleet Process Excellence team.
- Benefits: Gain valuable experience in a dynamic, global environment.
- Other info: 12-month fixed-term contract with opportunities for growth.
- Why this job: Make a real impact by turning data into actionable insights.
- Qualifications: Experience in data analysis, automation, and visualisation tools required.
The predicted salary is between 63000 - 77000 £ per year.
Description
Have you ever wondered what it takes to keep tens of thousands of delivery vans moving across Europe, every single day?
Behind every Amazon delivery is a fleet of vehicles that needs to be sourced, maintained, and optimised across nine countries.
If solving that puzzle with data sounds exciting, this role is for you.
The Fleet Process Excellence (FPE) team sits within EU Fleet Operations and is focused on one thing: making our branded delivery fleet more cost-efficient.
We work across multiple European countries, partnering with Delivery Service Providers (DSPs), Fleet Management Companies (FMCs), and internal teams across Last Mile operations.
We're looking for an Insights Manager to own how we use data to find and drive fleet cost savings.
You'll build the pipelines, dashboards, and analyses that help leadership understand where the money goes and where the opportunities are.
Think of it as being the team's data engine: you surface the insights, quantify the impact, and help turn numbers into action.
To be successful in this role, you'll need to be comfortable working independently, communicating clearly with both technical and non-technical audiences, and solving problems where the path isn't always obvious.
You don't need to know everything on day one, but you do need curiosity, initiative, and a bias for getting things done.
Please note that this a 12 months Fixed-term contract.
- Key job responsibilities
- Build and maintain automated data pipelines that provide a single source of truth for fleet cost performance (cost-per-package, vehicle off-road rates, cost-by-station)
- Create dashboards and visualisations that surface cost trends, anomalies, and optimisation opportunities for Directors and senior leadership
- Proactively identify savings levers using data analysis, quantify the impact, and present clear recommendations
- Work with Finance, Regional Fleet Managers, and Operations leaders to align on cost data and support business cases
- Develop and own the data models and warehouse structures that underpin fleet cost reporting
- Drive automation that reduces manual effort and improves data quality across the team
- Communicate the "so what" behind the numbers, not just the numbers themselves
- Basic Qualifications
- Experience in scripting for automation (e. g. Python) and advanced SQL skills.
- Experience with one or more analytics visualization tools (e. g., Excel, Tableau, Quick Sight, Micro Strategy, Power BI)
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in design and execution of analytics projects
- Experience interpreting data and making business recommendations
- Experience analysing and interpreting large-scale datasets using SQL and a cloud data warehouse (Redshift, Snowflake, Big Query, or similar)
- Preferred Qualifications
- Experience with financial or business analysis
- Experience with database, data warehouse or data lake solutions
- Experience working within a global company, with multi-country responsibilities
- Experience in fleet management, logistics, transportation, or last mile operations
- Track record of building reporting or data products from scratch
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 you're applying in isn't listed, please contact your Recruiting Partner.
Fleet Process Excellence Insights Manager (Fixed-term Contract), Global Fleet and Products in London employer: Amazon Inc.
At Amazon Development Centre in Edinburgh, we are committed to fostering a collaborative and inclusive work culture that empowers our employees to innovate and excel. As an Applied Scientist in our Intelligent Talent Acquisition team, you will have the opportunity to work on cutting-edge machine learning technologies that directly impact recruitment processes, while benefiting from mentorship and professional growth opportunities. Join us to make a meaningful difference in how talent is acquired globally, all within a vibrant city known for its rich history and dynamic tech scene.
StudySmarter Expert Advice🤫
We think this is how you could land Fleet Process Excellence Insights Manager (Fixed-term Contract), Global Fleet and Products in London
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We think you need these skills to ace Fleet Process Excellence Insights Manager (Fixed-term Contract), Global Fleet and Products in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Amazon Inc., make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
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Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Amazon Inc., emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Amazon Inc.’s attention and show the tangible impact of your work.
How to prepare for a job interview at Amazon Inc.
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